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Agent Skills

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verify-docs

Verify documentation claims against actual code, finding and fixing stale or incorrect docs. Audit docs for token efficiency — cut what strong LLMs already know, keep local specifics and gotchas. Use when asked to review docs, trim docs, or check docs are accurate.

agentydragon
agentydragon
41

info-gathering

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agentydragon
agentydragon
41

mcp-design

Design an MCP server tool surface for an AI agent. Starts from common workflows, derives tool schemas, audits for completeness and safety. Use when designing a new MCP server or redesigning an existing one.

agentydragon
agentydragon
41

forgejo

Inspect Forgejo repositories through the REST API and web endpoints, especially Actions CI, task/run metadata, logs, package registry tags, haku-state CI, and Flux/image rollout debugging. Use when diagnosing Forgejo Actions failures, missing logs, branch badge state, package/image publish gaps, or when endpoint shape is unclear.

agentydragon
agentydragon
41

pave

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agentydragon
agentydragon
41

readback

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agentydragon
agentydragon
41

reverse_engineer

Systematic binary reverse engineering toolkit. Extract source code, understand functions, document protocols, compare versions. Uses strings, symbols, disassembly, and differential verification.

agentydragon
agentydragon
41

session_logs

Discover and analyze Claude Code session logs from ~/.claude/projects, including finding the current session and extracting tool calls, user messages, and conversation history

agentydragon
agentydragon
41

update_deps

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agentydragon
agentydragon
41

knowledge_hygiene

Audit documentation, notes, runbooks, wiki-style knowledge bases, prompts, comments, UI/help copy, and other natural-language information systems for SSOT drift, duplication, stale claims, unclear ownership, and maintenance gaps. Produce prioritized, evidence-backed improvement suggestions with stable shorthand IDs like A, B, C so the user can choose what to execute.

agentydragon
agentydragon
41

ikea-3d-models

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agentydragon
agentydragon
41

ground-skill

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agentydragon
agentydragon
41

branch_splitter

Split a large branch with many changes into independent, reviewable PRs. Use when preparing a messy development branch for code review, when asked to "split this into PRs", "make this reviewable", "break this up", or when a branch does too many unrelated things. Produces a DAG of branches/PRs that can be reviewed and merged independently.

agentydragon
agentydragon
41

props_evaluator

Operate the live props cluster as evaluator — fetch credentials from k8s, call the API at props.allegedly.works, trigger critic/grader runs, and inspect results.

agentydragon
agentydragon
41

debug_agent_traces

Debug props agent traces. Read LLM request/response history, parse tool calls, and "speak with dead" — resurrect a past agent conversation to ask follow-up questions about its decisions.

agentydragon
agentydragon
41

narrow_matchability

Propose narrowing of grader match_file_restriction for unrestricted TP/FP occurrences in a specimen. Produces verifiable, link-rich output that lets the user confirm each restriction is correct.

agentydragon
agentydragon
41

anipy-cli

This skill should be used when the user asks to play, watch, stream, search, download, or binge anime; continue watching or check anime history; install, setup, configure, update, or fix anipy-cli; change video player or set anime quality; troubleshoot anime playback issues; or mentions anipy-cli by name. Triggers on "play anime", "watch frieren", "stream one piece dubbed", "download anime episodes", "binge naruto 1-10", "show anime history", "next episode", "continue watching", "change player to mpv", "set quality to 1080", "anipy-cli not working", "player not found", "anipy-cli", "anime from terminal".

Linaqruf
Linaqruf
4

suno

This skill should be used when the user wants to compose songs for Suno AI, write lyrics, create style prompts, or generate Suno metatags. Supports J-pop, K-pop, EDM, ballads, rock, and Latin genres, plus album/EP composition, variations, and song continuations. Also handles reference-based composition ("like YOASOBI", "in the style of Aimer") and J-pop tier presets ("anisong", "mainstream", "doujin"). Triggers on "write a song", "Suno prompt", "Suno metatags", "style of music", "song lyrics", "Suno AI", "acoustic version", "create an album", "extend this song", "like [artist]", "in the style of", "/suno", "anisong", "doujin", "negative prompting", "ad-libs".

Linaqruf
Linaqruf
4

kana-review

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Linaqruf
Linaqruf
4

project-creator

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DaronVee
DaronVee
43

create-skill

Use when creating a new skill or updating an existing skill

averycrespi
averycrespi
41

frontend-design

Use when the user asks to build web components, pages, or applications that need distinctive, production-grade frontend interfaces with high design quality

averycrespi
averycrespi
41

handoff-to-worktree

Use when explicitly asked to hand a task to a new Pi agent in a newly created Herdr-managed Git worktree.

averycrespi
averycrespi
41

herdr

Use when the user explicitly mentions Herdr, asks to use Herdr to inspect or control panes, tabs, workspaces, commands, or another agent, or asks to create, open, list, remove, or otherwise manage a Git worktree. Do not use merely because a task could benefit from a background terminal, delegation, or parallel work. Requires HERDR_ENV=1.

averycrespi
averycrespi
41

handoff

Use when explicitly asked to compact the current Pi session into a local handoff document that a fresh agent can use to continue the work.

averycrespi
averycrespi
41

playwright

Reference skill for browser automation: web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.

averycrespi
averycrespi
41

plan

Use when turning a clarified implementation request, feature idea, bugfix, refactor, workflow change, or design discussion into an execution-ready plan that a fresh coding agent can implement autonomously, especially before running /goal.

averycrespi
averycrespi
41

test-driven-development

Use when implementing a feature or bugfix that involves writing meaningful application logic

averycrespi
averycrespi
41

diagnose

Use when debugging bugs, failures, exceptions, flaky behavior, regressions, or performance problems where the cause is not already proven.

averycrespi
averycrespi
41

manage-scheduled-tasks

Use when creating, editing, validating, manually running, or debugging Pi scheduled task Markdown files managed by the scheduled-tasks extension.

averycrespi
averycrespi
41

agent-engineering

Use when designing, building, debugging, or reviewing AI coding agent harnesses — single-agent shape (tools, prompts, context, hooks, model selection) or multi-phase workflows (orchestration, subagents, verifiers, ticket-to-PR pipelines). Covers model-specific guidance for Claude 4.x and GPT-5.x families, and platform-specific patterns for Claude Code, the Claude Agent SDK, and Pi. Invoke when the user asks about harness design, scaffold patterns, agent loops, subagent orchestration, verification strategy, context compaction, plan/implement/verify pipelines, or how a particular model changes harness choices.

averycrespi
averycrespi
41

review

Use when reviewing code changes, a working tree, branch, commit range, pull request, patch, or implementation against acceptance criteria. Prepares evidence, runs deterministic checks, invokes the saved review workflow, and presents its findings.

averycrespi
averycrespi
41

challenge

Use when stress-testing a concrete plan, proposal, design, architecture decision, or implementation approach before implementation. Challenges material assumptions, failure modes, alternatives, and evidence gaps; use review for completed changes.

averycrespi
averycrespi
41

clarify

Use when requirements, scope, product behavior, edge-case policy, acceptance criteria, or design intent are fuzzy and need an interview before planning or implementation.

averycrespi
averycrespi
41

create-html-artifact

Use when the user asks to create or polish a standalone HTML artifact such as an HTML report, interactive explainer, visual plan, dashboard, slide deck, diagram, prototype, or throwaway HTML tool.

averycrespi
averycrespi
41

create-jira-ticket

Use when creating a Jira ticket to plan upcoming work. Guides ticket drafting with clear structure, self-contained context, and testable acceptance criteria, then creates the ticket via the available Jira/Atlassian broker tool.

averycrespi
averycrespi
41

hook-manager

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oakensoul
oakensoul
44

plugin-manager

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oakensoul
oakensoul
44

memento

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oakensoul
oakensoul
44

aida

This skill routes /aida commands to appropriate handlers - configuration,

oakensoul
oakensoul
44

skill-manager

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oakensoul
oakensoul
44

expert-registry

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oakensoul
oakensoul
44

knowledge-sync

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oakensoul
oakensoul
44

knowledge-curator

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oakensoul
oakensoul
44

permissions

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oakensoul
oakensoul
44

agent-manager

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oakensoul
oakensoul
44

claude-md-manager

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oakensoul
oakensoul
44

reclaim-tasks

Manage tasks in Reclaim.ai calendar scheduling app. Use when creating, updating, listing, completing, or deleting Reclaim tasks, or working with calendar scheduling, task priorities, time blocking, or task duration management.

benjaminjackson
benjaminjackson
4

conport-memory

Access Context Portal (ConPort) as persistent project memory via MCPorter. Load/update project context, log decisions and progress, track patterns. Use PROACTIVELY at session start to load context and throughout work to log decisions. Combats AI amnesia across sessions.

nicobailon
nicobailon
4

mcporter

Use when you need to access MCP servers without installing them directly in Claude Code. MCPorter provides CLI access to any MCP server via npx, enabling tool discovery, direct calls, and ad-hoc connections. Use for accessing external MCP capabilities like browser automation, API integrations, or any MCP-based tooling.

nicobailon
nicobailon
4

Page 1267 of 1714 · 85671 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.