84921 Skills Available

Find awesome
Agent Skills

Agent-Skills.md is a agent skills marketplace, to find the right agent skills for you.

Popular searches

zettel-note

The note-writing discipline for this vault's evergreen knowledge graph, modeled on a Zettelkasten reading companion and governed by the vault conventions. Enforces declarative-claim titles, one claim per note (atomicity), own-words prose with no block quotes, the piped [[slug|Title]] link form, the labeled link-relationship vocabulary (Confirms/Contradicts/Extends/Context/Prerequisite/Builds-on/Applies/Example-of/Contrasts-with), 3-6 links per note, and search-before-create deduplication. Use when capturing a claim as an evergreen note, refactoring a sprawling note into atomic ones, or wiring a new claim into the graph. Trigger keywords — evergreen note, zettel, atomic note, declarative title, link relationships, search before create, route the claim.

lyndonkl
lyndonkl
16024

adverse-selection-prior

Produces a Bayesian prior probability that an offered transaction is +EV for the recipient, given that the counterparty chose to propose it. Applies Akerlof market-for-lemons logic -- if they offered it, they believe it is +EV for them, so the prior that it is +EV for us is materially below 50%. Reusable across trade evaluation, waiver drops (another team dropping a player is also adverse selection), job-offer analysis, M&A, and any "someone offered me this" situation. Use when you receive an unsolicited trade/offer/proposal, analyzing incoming trade prior, evaluating why a counterparty proposed a deal, or when user mentions adverse selection, market for lemons, why did they offer this, incoming trade prior, they proposed it, Bayesian adjustment on received offer.

lyndonkl
lyndonkl
16024

advisory-edit

A strict advisory-only editing discipline for a writer who dictates ("speaks out") essays and wants help WITHOUT having their voice changed. The editor directs structure, flags grammar, and suggests strategic language — but never modifies the writer's text unless the writer explicitly says "apply" / "make that change" / "rewrite this." Produces a line-referenced, suggestion-only critique where every item is marked the writer's call. Four passes — structural, line (grammar/clarity), voice, pre-publish. Use when reviewing a draft, critiquing a spoken-out article, or doing a pre-publish check. The companion to learning-in-public-voice and the operating manual for the biostat-editor agent.

lyndonkl
lyndonkl
16024

analogy-weight-check

For every analogy in a substacker draft, verifies it carries mechanical weight — the analogy does real work explaining the mechanism, not merely decorates it. Cross-references analogy-catalog.md for novelty (is this analogy reused from a prior post?) and domain fit (biology > organizational > sports preferred; physics/military disfavored). Use whenever an analogy appears in the draft. Trigger keywords — analogy weight, decorative, mechanical weight, reused analogy, catalog check, metaphor check.

lyndonkl
lyndonkl
16024

anomaly-fraud-scanner

Scans transactions for fraud and anomaly signals — duplicate charges within 48 hours, transactions more than 3 standard deviations above a merchant's historical average, first-ever transaction with a new merchant above a high-dollar threshold, and unusual geography or time. Produces severity-tagged alerts with the transaction id, evidence, and a recommended action (call bank, freeze card, dispute, monitor). Use for vigilance scans on every drop, after any large unexplained outflow, or when user mentions fraud check, suspicious charge, anomaly detection, or duplicate charge.

lyndonkl
lyndonkl
16024

answer-uncomfortable-question

Takes one strategic question about substacker ("should we launch paid?", "is this section dead?", "are we writing for the wrong audience?") and produces the mandatory evidence + reasoning + downside triad plus a recommendation. Used 3 times per Growth Strategist review. Trigger keywords — uncomfortable question, strategic question, evidence reasoning downside, triad.

lyndonkl
lyndonkl
16024

attribute-performance

For each substacker post that materially over- or under-performs the rolling baseline (|z| ≥ 1.0), produces a plain-English attribution paragraph with calibrated confidence (high / medium / low / unexplained). Considers subject-line effect, topic zeitgeist, external share, day-of-week, length effect, and audience-notes signals. Labels unexplained outliers explicitly rather than fabricating a story. Use after compute-baseline when outlier posts exist. Trigger keywords — attribution, why did this post work, outlier explanation, performance analysis.

lyndonkl
lyndonkl
16024

auction-first-price-shading

Computes the optimal shaded bid for a first-price sealed-bid auction given a true private value, an estimate of the number of competing bidders N, and a value-distribution assumption. Implements the `(N-1)/N` equilibrium shading rule for uniform private values, adjusts for log-normal or empirical value distributions, layers a risk-aversion adjustment, and caps output against the bidder's remaining budget. Domain-neutral auction theory reusable across fantasy sports (baseball FAAB, NBA/NHL waiver auctions), prediction-market limit sizing, sealed procurement bids, and any blind-bid context. Use when user mentions "first-price auction bid", "sealed bid shading", "(N-1)/N", "FAAB bid amount", "auction shading", "optimal bid first-price", "bid for sealed-bid", "blind bid sizing", or when downstream logic needs a principled shade factor rather than an ad-hoc heuristic.

lyndonkl
lyndonkl
16024

auction-winners-curse-haircut

Applies a Bayesian haircut to a bid valuation for common-value auctions where winning is itself evidence the bidder over-estimated. Takes a raw valuation, a value-type classification (common_value / private_value / mixed), the number of informed bidders N, and a signal-dispersion estimate, and returns an adjusted valuation. Domain-neutral and reusable across fantasy FAAB, prediction markets, M&A bids, ad-auction budgets, and any generic bidding context. Use when user mentions "winner's curse", "common value auction", "valuation haircut", "adverse valuation", "Bayesian bid adjustment", or "over-paying in auction".

lyndonkl
lyndonkl
16024

audit-drift

Checks every post currently assigned to a substacker section against that section's promise and flags posts that no longer fit. Distinguishes acceptable-stretch (minor) from borderline (surface for review) from genuine-drift (violates promise). Never reassigns automatically — only flags. Use on every Curator run where at least one section already exists. Trigger keywords — drift, drift audit, section fit, promise violation, post in wrong section.

lyndonkl
lyndonkl
16024

business-narrative-builder

Constructs a structured narrative linking a company's qualitative business story to quantitative valuation drivers (revenue growth, target margin, reinvestment efficiency, cost of capital, failure risk). Classifies the company within a 6-stage corporate life cycle and sizes the total addressable market. Use when starting a company analysis, building a valuation narrative, assessing competitive position, sizing TAM, or when user mentions business narrative, story to numbers, life cycle stage, or company analysis.

lyndonkl
lyndonkl
16024

cash-flow-forecaster

Projects 30-90 days of daily cash flow per cash account by combining current balance, scheduled recurring inflows and outflows from recurring.json, and a 6-month rolling average of discretionary spend, then flags days where projected balance falls below a configurable safety floor. Use for forward planning, detecting upcoming overdrafts, sizing pre-funding for sinking funds, or when user mentions cash flow projection, runway, balance forecast, or upcoming bills coverage.

lyndonkl
lyndonkl
16024

category-allocation-best-response

Computes the best-response allocation of roster resources across categories in a Head-to-Head Categories matchup. Given our per-category capacity, the opponent's projected output, per-category win probabilities (from matchup-win-probability-sim), and a K-of-N winning threshold, classifies categories into pushed / contested / conceded buckets, emits per-category leverage weights for downstream lineup and streaming decisions, computes the resulting K-of-N win probability, and writes a plain-English rationale. Domain-neutral — portable to any fantasy sport with H2H Cats scoring (MLB 10-cat, NBA 9-cat, NHL 10-cat). Use when you need push/punt decisions, dominated-strategy elimination, leverage weights per cat, or best-response allocation; or when the user mentions "category allocation", "push or punt", "K of N cats", "dominated strategy elimination", "best response allocation", "Blotto fantasy", "leverage weights per cat", or "which cats to push".

lyndonkl
lyndonkl
16024

category-trend-analyzer

For each spending category, computes current-period spend, 6-month rolling average, year-over-year delta, and budget variance, then flags categories that are outliers (>1.5x rolling average or >130% of budget). Produces a ranked list of categories that grew, shrank, or stayed flat, plus the top transactions driving each outlier. Use for monthly spending reviews, identifying lifestyle creep, evaluating budget adherence, or when user mentions category trends, spending changes, budget variance, or outlier spend.

lyndonkl
lyndonkl
16024

check-analogy-novelty

Cross-references each proposed analogy in a 5-framing set against substacker shared-context/analogy-catalog.md to flag reuse. Classifies each analogy as new, reused-from-catalog (and which entry), or adjacent-to-catalog (close to an existing entry but not identical). Prevents the writer from recycling "imagine a library" for the twentieth time. Use after generate-analogy-set and before presenting framings to the writer. Trigger keywords — novelty, catalog, analogy reuse, already used, imagine a library.

lyndonkl
lyndonkl
16024

check-corpus-readiness

Checks whether the substacker corpus has enough material to justify a Curator run. Counts published posts, time-gates against the last review, and reports go/no-go with the specific gate that failed. Use before any Curator run, and on cold start to decide whether to propose sections yet. Trigger keywords — readiness, corpus ready, gate check, cadence gate, pre-flight.

lyndonkl
lyndonkl
16024

citation-form-check

Verifies every paper or named research result cited in a substacker draft uses the inline "Author(s), Institution, Year" form per style-guide, not a bare hyperlink or title-alone reference. Flags bare-hyperlink citations and missing-institution attributions. Use whenever the draft references external research. Trigger keywords — citation, paper citation, bare hyperlink, authors, institution, reference format.

lyndonkl
lyndonkl
16024

claim-extractor

Extracts atomic technical claims from a substacker essay draft, converting flowing intuition-first prose into a numbered list where each item is a statement that could in principle be verified or falsified. Skips non-technical sections (personal anecdote, motivation, call-to-action). Use when the Technical Reviewer starts a per-draft review. Trigger keywords — extract claims, atomic claims, technical claim list, fact-check prep.

lyndonkl
lyndonkl
16024

classify-claim

Assigns each extracted claim to one of five buckets — simplified-correct, simplified-boundary, wrong, contested, overclaim — with low/medium/high confidence and one-sentence rationale. Classification happens before primary-source verification (which confirms, not invents). Use for every claim from claim-extractor. Trigger keywords — classify, bucket, simplified vs wrong, claim type, technical classification.

lyndonkl
lyndonkl
16024

classify-post-to-section

Assigns a substacker draft or published post to the best-fitting section (or to unassigned) based on content + section promises in section-map.md. Used by the Editor on every draft review (to load the right voice overlay) and by the Curator in batch mode. Trigger keywords — classify post, section assignment, which section, route post, per-draft section.

lyndonkl
lyndonkl
16024

closer-critique

Evaluates the final paragraph of a substacker draft for compression and closing form — bolded maxim, forward-looking question, or compressed mechanism statement. For series posts (frontmatter series — {slug}), verifies the running scoreboard (P&L, Brier, W-L) is present and updated. Use on every draft. Blocks publication of series posts missing the scoreboard. Trigger keywords — closer, closing, last paragraph, bolded maxim, scoreboard, CTA, wrap up, conclusion.

lyndonkl
lyndonkl
16024

cluster-corpus-by-theme

Performs axial-coding-style thematic clustering over the substacker corpus of published posts to surface candidate sections. Uses Braun & Clarke's six-phase thematic analysis — familiarization, initial coding, searching for themes, reviewing themes, defining themes, naming. Reads full bodies, not titles. Use when re-opening the section question. Trigger keywords — cluster, theme, axial coding, thematic analysis, candidate sections.

lyndonkl
lyndonkl
16024

company-classification-routing

Classifies a company and routes it to the correct analytical treatment — life cycle stage, sector type, earnings status, ownership, distress markers, geography — then compiles the hard constraints that follow into classification.json. Use before any valuation begins, when deciding which valuation model applies, or when a company looks non-standard — a bank or insurer, a pre-revenue or loss-making firm, a distressed or declining business, a private company or an IPO, a cyclical or commodity producer, an emerging-market firm, or a multi-business group.

lyndonkl
lyndonkl
16024

component-extraction

Domain-neutral methodology for the third level of Adler-style reading - extracting structured components (terms, propositions, arguments, solutions) from a document section by section. Selects a reading strategy appropriate to document size and structure (section-based for documents under 50 pages with clear sections; windowing for long documents without breaks; targeted for hybrid content where only specific sections matter). Writes per-section extraction notes that downstream synthesis can consume. Reusable across any extraction workflow - skill creation from a methodology document, Pass-2 content grasp on a paper's full text, evidence-mining from a long-form report. Use when an agent has done structural analysis and now needs to extract the actual atomic content. Trigger keywords - component extraction, section-by-section extraction, extract terms, extract propositions, extract arguments, Adler Level 3, interpretive reading.

lyndonkl
lyndonkl
16024

compute-baseline

Computes substacker's rolling 4-week baseline for open rate, click rate, views-per-send, and weekly subscriber delta using corpus/stats/ archived CSVs. Produces per-metric z-scores of the current week against the baseline and flags cold-start windows where fewer than 4 prior weeks exist. Use after ingest-substack-csv each Monday. Trigger keywords — baseline, rolling median, z-score, cold start, per-metric comparison.

lyndonkl
lyndonkl
16024

concept-rediscovery-walk

Guides a learner to invent a math or ML concept themselves through a Socratic walk — a sequence of small guessable questions that ends with the learner stating the formal definition unprompted. The 3Blue1Brown signature move. Use when the learner is meeting a foundational concept (eigenvectors, gradient, attention, softmax, KL divergence) for the first time, when prior exposure produced memorization without understanding, or when the user says "explain it from scratch", "I want to really get it", "build it up for me", or "where does this come from".

lyndonkl
lyndonkl
16024

conf-abstract-enrichment

Thicken a thin or missing conference-session abstract through targeted web research so short, noisy text becomes classifiable — pulling the speaker's recent work, the linked repo or paper, and the company/product to add signal. Every enriched claim carries provenance (source URL + retrieval date) and a confidence, the enriched text is stored separately from the original (never overwriting it), and enrichment is gated so already-rich abstracts are left alone. Conference-agnostic. Use when an event record has been flagged thin by program extraction, when a session lacks enough text to classify, or when a key axis (depth, topic) is low-confidence. Trigger keywords - abstract enrichment, thicken abstract, enrich session, speaker research, thin abstract, runtime web search for talks.

lyndonkl
lyndonkl
16024

conf-pipeline-orchestration

The multi-agent communication and orchestration discipline for a staged pipeline whose stages each carry calibrated uncertainty. Agents talk through files with defined schemas and status fields (never free text); the orchestrator passes input paths plus an explicit output path plus a return contract, verifies each artifact's confidence before advancing a stage gate, holds and integrates worker outputs rather than passing them through, freezes its protected control logic against a checksum, maintains a diversity floor, hardens the fragile handoffs not the resilient hubs, and names the substitution effect every optimized score produces. Conference-agnostic; preloaded by a pipeline orchestrator. Use when coordinating a staged agent pipeline, designing the orchestrator-worker contract, or deciding when to advance, reconcile, or escalate. Trigger keywords - pipeline orchestration, stage gates, structured agent communication, invariant guard, confidence propagation, conflict surfacing.

lyndonkl
lyndonkl
16024

conf-preference-elicitation

Build a personalized preference profile from a small number of well-chosen, cluster-grounded questions instead of a long survey. Represents the person's interests as an uncertainty region over the theme map, picks the single highest-information-gain choice-based question (contrasting real talks from different clusters), balances exploiting known interests against exploring uncertain ones, deliberately injects outlier probes to fight selection bias, and stops as soon as the schedule would be stable. Also elicits the user-owned objective weights and hard constraints. Interactive — runs where it can actually ask the person. Conference-agnostic. Use to turn a theme map into a preference profile, to decide what to ask a conference attendee, or to elicit scheduling priorities. Trigger keywords - preference elicitation, ask few questions, information gain, choice-based questions, selection bias probe, objective weights, attendee preferences.

lyndonkl
lyndonkl
16024

conf-program-extraction

Parse a heterogeneous conference program (markdown, HTML, PDF-derived text, or JSON) into normalized event records with per-field confidence scores and independent classification axes (topic, depth, format, prerequisites, recorded, capacity). Detects the program's format before extracting, treats every inferred field as uncertain (present vs inferred vs missing), and flags thin or missing abstracts so downstream enrichment can target them. Conference-agnostic. Use when ingesting a conference or event schedule into a structured store, normalizing a talk/session list, or extracting per-session metadata with calibrated confidence. Trigger keywords - program ingestion, parse schedule, session extraction, event records, conference program, talk metadata, per-field confidence.

lyndonkl
lyndonkl
16024

conf-schedule-optimization

Build a personal conference schedule as a constraint-optimization problem — hard constraints (no time overlap, room-to-room travel time, capacity/registration, the attendee's own must-attends and blackouts) plus a user-owned weighted objective trading interest against breadth, pacing (maximize contiguous free time), and serendipity. Surfaces unbreakable conflicts (two high-value overlapping talks the model cannot rank) as decisions for the human rather than silently picking, and reports what each choice traded away. Conference-agnostic. Use to turn a preference profile plus a theme map into a day-by-day plan, to resolve overlapping sessions, or to balance a packed vs paced schedule. Trigger keywords - schedule optimization, conference schedule, constraint optimization, overlapping talks, contiguous free time, conflict surfacing, packed vs paced.

lyndonkl
lyndonkl
16024

conf-theme-clustering

Cluster a conference's event records into a small set of coarse themes with finer sub-clusters, an explicit outlier bucket, and soft (multi-membership) affinities — using the hybrid embed-then-label pipeline (embed abstracts, reduce, density-cluster, then LLM-label the clusters) when embedding libraries are available, and an LLM-reasoned hierarchical fallback when they are not. Embeddings do the grouping; the LLM only names the groups. Conference-agnostic. Use when turning structured event records into a navigable theme map for preference elicitation and scheduling, when you need 6-8 reasonable themes rather than 20 muddy ones, or when overlapping talks must belong to more than one theme. Trigger keywords - theme clustering, cluster talks, embed then label, soft membership, outlier talks, conference themes, topic map.

lyndonkl
lyndonkl
16024

corporate-governance-analysis

Assesses who actually controls a company and whether management is accountable — board independence, dual-class and voting structures, cross-holdings and pyramids, the marginal investor, and the gap between stated and real accountability. Use in a corporate finance analysis, when setting the objective function for a valuation, when assessing the odds that bad management gets replaced, or when valuing control.

lyndonkl
lyndonkl
16024

cost-of-capital-toolkit

Estimates discount rates and the optimal financing mix — riskfree rate in any currency, equity risk premium including country risk, bottom-up and total betas, synthetic credit ratings from interest coverage, cost of debt, market value of debt, WACC, the implied equity risk premium solved from current index levels, and the cost-of-capital schedule across debt ratios that locates the optimal debt ratio, with an APV cross-check and a stress test under rating constraints. Bundles Damodaran's rating and spread tables, Altman default probabilities, industry-average betas and multiples, and country risk premiums, each tagged with its vintage. Use when estimating a discount rate, WACC, hurdle rate, cost of equity or cost of debt, unlevering or relevering a beta, when a company has no credit rating, when estimating the equity risk premium priced into the market, when looking up a sector beta or country risk premium, when converting a rate between currencies, or when finding or stressing an optimal capital structure.

lyndonkl
lyndonkl
16024

cross-poster-blurb

Writes a 60-140 word third-person blurb for the Substack cross-post feature, positioned so another newsletter writer can paste it into their cross-post popup without editing. Third-person throughout ("In this piece, Kushal argues…"). No subscriber CTAs. Use as the cross-post arm of the Distribution Translator. Trigger keywords — cross-post, cross-poster, blurb, Substack cross-post, third person, positioning.

lyndonkl
lyndonkl
16024

cross-reference-claim

Finds and cites a primary source for each substacker draft claim — original arXiv paper, official documentation, RFC, canonical textbook. Source hierarchy enforced — primary > secondary > tertiary > not-a-source. Records URL, title, passage/result that settles the claim. Use after classify-claim; runs once per claim unless classification is simplified-correct with high confidence on standard undergrad material. Trigger keywords — cross-reference, primary source, citation, arXiv, RFC, paper lookup, source hierarchy.

lyndonkl
lyndonkl
16024

cross-ref-topic-ledger

For each Trend Scout candidate item, checks substacker shared-context/topic-ledger.md and tags with NEW | OVERLAPS seed:{slug} | OVERLAPS draft:{slug} | OVERLAPS published:{slug}. Adds a reinforcement_angle note for items overlapping with published posts ("external confirmation of X"). Read-only against the ledger. Use after summarize-signal, before rank-by-user-fit. Trigger keywords — cross-ref, ledger check, overlap, reinforcement, dedup external.

lyndonkl
lyndonkl
16024

dcf-valuation-engine

Runs an intrinsic (discounted cash flow) valuation from value drivers — builds the year-by-year forecast with fading growth, margins and reinvestment, closes it with a terminal value, adjusts for failure risk, walks the bridge from operating assets to equity value per share, and runs sensitivity grids. Also reverse-engineers the market price into the growth or margin it already assumes. Use when valuing a company intrinsically, building a DCF or FCFF/FCFE model, computing terminal value or value per share, running valuation sensitivity, or asking what the market is pricing in.

lyndonkl
lyndonkl
16024

debt-design

Matches the kind of debt a firm issues to the assets it finances — maturity, currency, fixed or floating, and features such as convertibility or commodity linkage — using asset duration and the sensitivity of firm value and operating income to interest rates, inflation, real growth and exchange rates. Use when advising on what debt to issue, reviewing an existing debt structure, choosing debt maturity or debt currency, deciding fixed versus floating, or after finding an optimal debt ratio.

lyndonkl
lyndonkl
16024

dedupe-against-corpus

Checks a candidate seed against the existing substacker corpus (seeds, drafts, published) for exact duplicates (sha256 fingerprint) and near-duplicates (title Jaccard, first-200-word Jaccard, shared topic cluster). Exact match exits as SKIPPED. Near-match links via related_seeds rather than creating a duplicate. Use after topic tagging and density scoring, before writing the seed. Trigger keywords — dedupe, duplicate, already thought, near-match, related seed, fingerprint.

lyndonkl
lyndonkl
16024

derive-section-voice-overlay

Derives a draft per-section voice overlay (deltas against substacker global voice-profile) once a section reaches ≥3 published posts with shared voice tells. Writes to shared-context/voices/{slug}.md. Writer reviews and commits. Overlay expresses only the DELTA from global voice — not a full rewrite. Use when a section crosses the 3-post threshold. Trigger keywords — voice overlay, section voice, overlay delta, per-section voice.

lyndonkl
lyndonkl
16024

cc-trace

Interactive assistant for intercepting, debugging, analyzing and reviewing Claude Code API requests using mitmproxy. Guides setup, certificate configuration, and active traffic inspection via web or CLI interface. Supports learning Claude Code internals, debugging issues, and optimizing API usage.

alexfazio
alexfazio
15918

pilotty

Automates terminal TUI applications (vim, htop, lazygit, dialog) through managed PTY sessions. Use when the user needs to interact with terminal apps, edit files in vim/nano, navigate TUI menus, click terminal buttons/checkboxes, or automate CLI workflows with interactive prompts.

msmps
msmps
15813

insight

用户需求洞察与产品机会分析技能。适用于新产品开发、营销策划、品类切入前的市场分析。当你需要快速理解目标用户、挖掘情绪动机、将洞察转化为可落地的产品机会时使用此技能。

liangdabiao
liangdabiao
15722

abstract-strategy

Design abstract strategy games with perfect information, no randomness, and strategic depth. Use when designing a board game, exploring abstract strategy games, brainstorming game mechanics, or evaluating game balance. Keywords: board game, game design, strategy, mechanics, balance.

jwynia
jwynia
15719

adaptation-synthesis

Synthesize new works from extracted functional DNA documents. Use when adapting a source work to a new context, when combining multiple source extractions, or when generating variations that preserve function while changing form.

jwynia
jwynia
15719

agent-bootstrap

Bootstrap agentic development environment from agent.toml manifest

jwynia
jwynia
15719

agile-coordinator

Orchestrate multiple worker agents to implement groomed tasks. Use when multiple ready tasks need implementation, when you want autonomous multi-task execution, or when coordinating batch development work. Keywords: coordinator, orchestrator, multi-task, parallel, workers, batch, autonomous.

agent-skills
agent-skills
15719

agile-workflow

Orchestrate agile development workflows by invoking commands in sequence with checkpoint-based flow control. This skill should be used when the user asks to 'run the workflow', 'continue working', 'what's next', 'complete the task cycle', 'start my day', 'end the sprint', 'implement the next task', or wants guided step-by-step development assistance. Platform-agnostic git-only workflow without PR integration. Keywords: workflow, orchestrate, agile, task cycle, sprint, daily, implement, review, merge, standup, retrospective, git.

agent-skills
agent-skills
15719

architecture-decision

Systematically evaluate architecture decisions, document trade-offs, and select appropriate patterns. This skill should be used when the user asks about 'architecture decision', 'ADR', 'design pattern selection', 'technology choice', or needs to evaluate architectural trade-offs. Keywords: architecture, ADR, patterns, trade-offs, technical debt, quality attributes, decision record.

jwynia
jwynia
15719

Page 517 of 1699 · 84921 results

Adoption

Agent Skills are supported by leading AI development tools.

FAQ

Frequently asked questions about Agent Skills.

01

What are Agent Skills?

Agent Skills are reusable, production-ready capability packs for AI agents. Each skill lives in its own folder and is described by a SKILL.md file with metadata and instructions.

02

What does this agent-skills.md site do?

Agent Skills is a curated directory that indexes skill repositories and lets you browse, preview, and download skills in a consistent format.

03

Where are skills stored in a repo?

By default, the site scans the skills/ folder. You can also submit a URL that points directly to a specific skills folder.

04

What is required inside SKILL.md?

SKILL.md must include YAML frontmatter with at least name and description. The body contains the actual guidance and steps for the agent.

05

How can I submit a repo?

Click Submit in the header and paste a GitHub URL that points to a skills folder. We’ll parse it and add any valid skills to the directory.