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Agent Skills

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

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tech-manga-explainer

生成技术科普漫画,用对话形式解释复杂的技术概念。当用户请求「用漫画解释技术」「生成技术科普漫画」「把这个技术概念画成漫画」「漫画教程」「用漫画讲解 XXX」或类似需求时使用。适合 n8n、Kubernetes、AI、编程、架构等技术话题。通过 nanobanana + Gemini API 生成图片。

lqshow
lqshow
192

troubleshoot-braintrust-mcp

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braintrustdata
braintrustdata
1911

polymarket-trading

Polymarket-specific terminology, trading strategies, and API reference.

Niller2005
Niller2005
193

polyflup-ops

Operational commands, environment configuration, and deployment for PolyFlup.

Niller2005
Niller2005
193

polyflup-history

Chronological log of system improvements and session summaries for PolyFlup.

Niller2005
Niller2005
193

bookkeeper

Specialized in maintaining project documentation, ensuring it reflects the current state of the codebase and operational procedures.

Niller2005
Niller2005
193

database-analyzer

Specialized in syncing the production database and performing analysis on trades, balances, and market history.

Niller2005
Niller2005
193

python-bot-standards

Coding standards, modular architecture, and common execution patterns for the PolyFlup Python backend.

Niller2005
Niller2005
193

log-analyzer

Specialized in syncing logs from production and analyzing them to find trade history, errors, or performance metrics.

Niller2005
Niller2005
193

svelte-ui-standards

Coding standards and UI guidelines for the PolyFlup Svelte dashboard.

Niller2005
Niller2005
193

database-sqlite

SQLite best practices, connection management, and migration system for PolyFlup.

Niller2005
Niller2005
193

trainer

Responsible for keeping the system's "Skills" and internal knowledge base up to date with the latest project developments.

Niller2005
Niller2005
193

nano-banana

Generate and edit images using Gemini's image generation API (Imagen 3). This skill should be used when creating images, illustrations, diagrams, editing existing images, or iteratively refining visual content through multi-turn conversations.

Roasbeef
Roasbeef
193

lnd

Run and interact with lnd Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing lnd containers, and calling lnd RPC endpoints (getinfo, connect, open/close channels, pay/receive). Supports bitcoind, btcd, and neutrino backends.

Roasbeef
Roasbeef
193

eclair

Run and interact with eclair Lightning Network daemon in Docker. Use for Lightning development, testing payment channels on regtest, managing eclair containers, and calling eclair API endpoints (getinfo, connect, open/close channels, pay/receive).

Roasbeef
Roasbeef
193

mutation-testing

Validates Go test suite quality through mutation testing using go-gremlins/gremlins. Mutates production code, runs the test suite against each mutant, and reports which mutants the tests fail to kill — exposing weak assertions that line coverage cannot detect. Use when evaluating test effectiveness, validating newly written tests, or improving test quality for mission-critical code (consensus, channel state, payment flows, crypto). Triggers: "mutation test", "are these tests strong", "validate test quality", "/mutation-testing".

Roasbeef
Roasbeef
193

slide-creator

Transform written content (blog posts, newsletters, articles) into visual slide deck images. This skill should be used when converting text content into presentation format, creating slide graphics from outlines, or generating visual summaries of written material.

Roasbeef
Roasbeef
193

skill-creator

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Roasbeef
Roasbeef
193

substrate

This skill provides agent mail management via the Subtrate command center. Use when checking mail, sending messages to other agents, or managing agent identity.

Roasbeef
Roasbeef
193

agent-ci

Run GitHub Actions CI locally with Agent CI to validate changes before pushing. Use when testing, running checks, or validating code changes.

redwoodjs
redwoodjs
193

agent-cli

Design and review CLIs for AI agent consumption. Covers machine-readable output, input hardening against hallucinations, schema introspection, context window discipline, dry-run safety rails, and skill file packaging. Use when building new CLIs, adding agent support to existing CLIs, reviewing CLI designs for agent compatibility, or wrapping APIs as CLI tools. Triggers: agent CLI, CLI for agents, machine-readable CLI, agent-first CLI, CLI agent DX.

Roasbeef
Roasbeef
193

orchestrate

Expensive planner (Opus 4.8 / Fable 5) decomposes a task into independent work items, a fleet of cheap Sonnet 5 (or Haiku 4.5) workers executes them in parallel via a Workflow, and the planner synthesizes the results. Emulates the native orchestrator pattern in Claude Code: keep the expensive model scarce (one planning pass, one synthesis pass) and the cheap model abundant (N parallel workers). Prefers a deterministic dynamic workflow when available; falls back to in-instance Task dispatch. Use when the user types /orchestrate or asks to decompose, fan out, or parallelize a task across independent workers.

Roasbeef
Roasbeef
193

agentic-code-reasoner

This skill enables deep, execution-free code analysis using the "Semi-Formal Reasoning" methodology. Use it for complex debugging, patch verification, or subtle logic questions where standard inspection might miss edge cases. It requires the generation of a "Reasoning Certificate" verifying logic paths before delivering a conclusion.

Roasbeef
Roasbeef
193

property-based-testing

Provides guidance for property-based testing across multiple languages and smart contracts. Use when writing tests, reviewing code with serialization/validation/parsing patterns, designing features, or when property-based testing would provide stronger coverage than example-based tests. For Go code, uses pgregory.net/rapid as the primary PBT framework.

Roasbeef
Roasbeef
193

variant-analysis

Find similar vulnerabilities and bugs across codebases using pattern-based analysis. Use when hunting bug variants, building CodeQL/Semgrep queries, analyzing security vulnerabilities, or performing systematic code audits after finding an initial issue.

Roasbeef
Roasbeef
193

test-refine

Refines an existing Go test suite — removes trivial/duplicate tests, strengthens weak assertions, reshapes tests around invariants, and closes branch-coverage gaps. Uses code-guided coverage and (when available) gremlins mutation-testing survivor data rather than relying on line coverage alone. Use when test quality is uneven, after a test-generation pass, before opening a PR, or as a quality gate on critical paths (consensus, channel state, payment flows). Triggers: "refine these tests", "tests are bloated", "tighten assertions", "remove trivial tests", "audit test quality", "/test-refine".

Roasbeef
Roasbeef
193

technical-writing

Clear-writing guide distilled from Steven Pinker's "The Sense of Style." Use when writing or revising prose that must be clear to a reader — documentation, design docs, specs, explanations, essays, emails, reports, RFCs, release notes — or when asked to make writing clearer, tighter, less academic, or less jargon-laden. Activate for "make this clearer", "tighten this", "why is this hard to read", "edit this for clarity", or any prose-quality pass.

Roasbeef
Roasbeef
193

roasbeef-prose

Writing style guide for Roasbeef's technical prose. This skill should be used when writing PR descriptions, commit messages, technical documentation, blog posts, or any written content that should match Roasbeef's established voice. Activate when creating PRs, drafting commit messages, writing release notes, or composing technical explanations.

Roasbeef
Roasbeef
193

advisor

On-demand consultation of a higher-tier model (Opus 4.8 or Fable 5) from a cheaper executor session. Emulates the native advisor-tool pattern in Claude Code: keep the main loop on a cheap model (Sonnet 5) and call the expensive model rarely, via a focused consultation packet, for a plan/decision/'what am I missing' — not for code. Use when the executor is stuck, before committing to a plan, after repeated failed attempts at the same fix, or before a risky/irreversible change. Invoked via /advisor or when the executor recognizes a consult checkpoint.

Roasbeef
Roasbeef
193

advisor-review

Final adversarial audit of finished work by one top-tier model (Fable 5 or Opus 4.8), in a single report-only pass across three axes: verify the load-bearing invariants (especially any you could NOT run locally), simplify without losing properties, and hunt for live variants of the bug shapes just fixed. You then verify each finding and act. Use as the closing gate on a substantive or risky change before calling it done, especially when part of it (a systest, a migration, a concurrency path) can't be validated locally. Distinct from /advisor (decision consult), /review-loop (multi-agent fix loop), and /variant-analysis (single-pattern sweep). Invoke via /advisor-review or after finishing hard-to-verify work.

Roasbeef
Roasbeef
193

review-loop

Adversarial review→triage→fix loop until a cold verifier signs off. Fans out lens-specific reviewer subagents, verifies every finding against the code (killing false positives), auto-applies confirmed fixes as fixup commits, and repeats until a fresh verifier approves. Prefers a deterministic dynamic workflow when available; falls back to in-instance Task dispatch. Use when the user types /review-loop or asks to adversarially review-and-fix a change set, branch, or commit range until clean.

Roasbeef
Roasbeef
193

agent-browser

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Roasbeef
Roasbeef
193

go-debug

Interactively debug Go programs in a single context using Delve (dlv) driven through tmux. Use when a bug requires runtime inspection — stepping through code, examining variables, walking goroutines, attaching to a live process, or debugging a hanging integration test — rather than just reading the source. Triggers include "step through this", "set a breakpoint", "attach to the running server", "why is this goroutine stuck", "debug this failing test".

Roasbeef
Roasbeef
193

hunk

Line-level git staging and non-interactive rebase for agents that know exactly which lines they changed. Use when you need atomic commits carved out of a larger diff, or when you need to squash/drop/reorder/reword commits without interactive prompts.

Roasbeef
Roasbeef
193

lnget

Use lnget to fetch resources from L402-protected URLs that require Lightning payments. Covers basic fetching, payment limits (max cost, max routing fee), token cache management, and Lightning backend status. Use when an HTTP request returns 402 Payment Required and a Lightning micropayment is needed, or when downloading files behind a Lightning paywall.

Roasbeef
Roasbeef
193

ci-loop

Babysit CI after a push: a monitor→classify→remediate state machine that watches a run to completion, mechanically fixes trivial/build breakage, reproduces test failures locally to tell a flake from a real bug, reruns suspected flakes within a budget, hands reproduced failures to a fixer that commits a fixup and pushes, and loops until CI is green or it can justify a bail back to the user. Prefers a deterministic dynamic workflow when available; falls back to in-instance Task dispatch. Use when the user types /ci-loop or asks to watch/babysit/auto-fix CI for a pushed branch or PR until it's green.

Roasbeef
Roasbeef
193

frontend-design

Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.

Roasbeef
Roasbeef
193

research-compare

Compare two or more alternatives in a structured tradeoff matrix — libraries, technologies, vendors, or approaches. Derives the comparison criteria from the decision context (or accepts caller-supplied criteria), researches each alternative on every criterion in parallel tracks across the hide-the-intent boundary, and builds an evidence-backed matrix where each cell carries a citation. Surfaces per-criterion tradeoffs factually (on X, A leads; on Y, B leads) but does NOT compute weighted scores or declare a winner — which weights matter, and which alternative wins, belongs to the orchestrator. Persists the matrix as a decision-input document. Mode-aware: interactive confirms criteria and reviews the matrix; autonomous returns the matrix path. The right capability for 'Postgres vs Cassandra for our workload', 'Stripe vs Adyen', 'REST vs GraphQL for this API'.

malhashemi
malhashemi
19

pr-cycle

Automated PR review cycle for codesmith when PR mode applies. Opens the PR, waits for Gemini Code Assist review via the `await_pr_review` tool, dispatches `codesmith-validator` to assess each unresolved thread against the codebase, implements approved fixes via `codesmith-worker`, responds to threads, requests re-review, and loops until Gemini approves or a context-handoff signal fires. Escalates to human for the final merge decision. NEVER auto-merges. Used at V-phase PR-review gate (Lock 11 gate 5) when PR mode applies; pairs with `local-merge` for the non-PR alternative.

malhashemi
malhashemi
19

plan-validation

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malhashemi
malhashemi
19

plan-review

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malhashemi
malhashemi
19

phase-execution

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malhashemi
malhashemi
19

parallel-planning

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malhashemi
malhashemi
19

local-merge

Squash + rebase + merge + cleanup an implementation worktree into the target branch via worktrunk's `wt merge`. Used at V-completion in local-only mode (no PR cycle applies — no remote, or workflow run local-only). Replaces the PR-open + Gemini-review + human-merge stages of the V-phase with a single local-merge operation that produces the same end-state (code on the target branch, worktree cleaned up).

malhashemi
malhashemi
19

implementation-orchestration

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malhashemi
malhashemi
19

extract-knowledge

Extracts reusable patterns, conventions, and knowledge from existing artifacts (code, docs, prompts, conversations) into structured reference materials. The critical skill is PATTERN RECOGNITION — identifying what's reusable beyond the source material, actionable enough to guide future work, and structured for easy retrieval. Used when learning from examples to create templates, guidelines, or patterns; or when distilling a conversation into a teachable refinement.

malhashemi
malhashemi
19

documents-xlsx

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

malhashemi
malhashemi
19

documents-pptx

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

malhashemi
malhashemi
19

documents-pdf

Comprehensive PDF manipulation toolkit for extracting text and tables, creating new PDFs, merging/splitting documents, and handling forms. When Claude needs to fill in a PDF form or programmatically process, generate, or analyze PDF documents at scale.

malhashemi
malhashemi
19

documents-docx

Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional documents (.docx files) for: (1) Creating new documents, (2) Modifying or editing content, (3) Working with tracked changes, (4) Adding comments, or any other document tasks

malhashemi
malhashemi
19

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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.