Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 600 files from 1 763 authors, of which 61 947 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Comprehensive startup idea validation and market analysis tool. Use when users need to evaluate a startup idea, assess market fit, analyze competition, validate problem-solution fit, or determine market positioning. Triggers include requests to "validate my startup idea", "analyze market opportunity", "check if there's demand for", "research competition for", "evaluate business idea", or "see if my idea is viable". Provides data-driven analysis using web search, market frameworks, competitive research, and positioning recommendations.
Assist writers with story planning, character development, plot structuring, chapter writing, timeline tracking, and consistency checking. Use this skill when working with creative writing projects organized in folders containing characters, chapters, story planning documents, and summaries. Trigger this skill for tasks like "Help me develop this character," "Write the next chapter," "Check consistency across my story," or "Track the timeline of events.
This skill should be used when writing test cases, fixing bugs, analyzing code for potential issues, or improving test coverage for JavaScript/TypeScript applications. Use this for unit tests, integration tests, end-to-end tests, debugging runtime errors, logic bugs, performance issues, security vulnerabilities, and systematic code analysis.
This skill should be used whenever users need help planning trips, creating travel itineraries, managing travel budgets, or seeking destination advice. On first use, collects comprehensive travel preferences including budget level, travel style, interests, and dietary restrictions. Generates detailed travel plans with day-by-day itineraries, budget breakdowns, packing checklists, cultural do's and don'ts, and region-specific schedules. Maintains database of preferences and past trips for personalized recommendations.
This skill should be used when analyzing technical debt in a codebase, documenting code quality issues, creating technical debt registers, or assessing code maintainability. Use this for identifying code smells, architectural issues, dependency problems, missing documentation, security vulnerabilities, and creating comprehensive technical debt documentation.
Output rules for all agents - concise, scannable, actionable. Based on Matt Pocock's planning principles.
Core principle that the main agent is a coordinator, not an implementer. All work must be delegated to subagents.
Core Smart Ralph skill defining common arguments, execution modes, and shared behaviors across all Ralph plugins.
This skill should be used only when the user explicitly asks to use `$ralph-specum-help`, or explicitly asks Ralph Specum in Codex for help or command guidance.
Comprehensive understanding of the spec-kit methodology. Constitution-driven feature development with specify, plan, tasks, and implement phases.
This skill should be used only when the user explicitly asks to use `$ralph-specum-cancel`, or explicitly asks Ralph Specum in Codex to stop execution or remove a spec.
This skill should be used only when the user explicitly asks to use `$ralph-specum-design`, or explicitly asks Ralph Specum in Codex to run the design phase.
This skill should be used only when the user explicitly asks to use `$ralph-specum-feedback`, or explicitly asks Ralph Specum in Codex to draft or submit feedback.
This skill should be used only when the user explicitly asks to use `$ralph-specum-implement`, or explicitly asks Ralph Specum in Codex to run implementation for approved tasks, quick mode, or an explicit continue request.
This skill should be used only when the user explicitly asks to use `$ralph-specum-index`, or explicitly asks Ralph Specum in Codex to generate or refresh index artifacts.
This skill should be used only when the user explicitly asks to use `$ralph-specum-research`, or explicitly asks Ralph Specum in Codex to run the research phase.
This skill should be used only when the user explicitly asks to use `$ralph-specum-start`, or explicitly asks Ralph Specum in Codex to start or resume a spec.
This skill should be used only when the user explicitly asks to use `$ralph-specum-refactor`, or explicitly asks Ralph Specum in Codex to revise spec artifacts after implementation learnings.
This skill should be used only when the user explicitly asks to use `$ralph-specum-status`, or explicitly asks Ralph Specum in Codex for status or active spec progress.
This skill should be used only when the user explicitly asks to use `$ralph-specum-requirements`, or explicitly asks Ralph Specum in Codex to run the requirements phase.
This skill should be used only when the user explicitly asks to use `$ralph-specum-switch`, or explicitly asks Ralph Specum in Codex to switch the active spec.
This skill should be used only when the user explicitly asks to use `$ralph-specum-tasks`, or explicitly asks Ralph Specum in Codex to run the tasks phase.
This skill should be used only when the user explicitly asks to use `$ralph-specum-triage`, or explicitly asks Ralph Specum in Codex to triage a large effort into multiple specs.
This skill should be used when running an interactive interview before a spec phase, gathering requirements through dialogue, asking the user clarifying questions before delegating to a subagent, or when any Ralph phase command (research, requirements, design, tasks) needs adaptive brainstorming dialogue. Covers the 3-phase algorithm (Understand, Propose Approaches, Confirm and Store).
This skill should be used when generating spec artifacts (research.md, requirements.md, design.md, tasks.md), formatting agent output, structuring phase results, or when any Ralph agent needs guidance on concise, scannable output formatting. Applies to all Ralph spec phase agents.
Use only when the user explicitly invokes `$ralph-specum`, requests Ralph Specum in Codex, asks Ralph Specum to handle a named phase, or explicitly requests autonomous or quick mode or continuation without pauses.
This skill should be used when the user asks about "ralph arguments", "quick mode", "commit spec", "max iterations", "ralph state file", "execution modes", "ralph loop", "coordinator behavior", "delegate to subagent", or needs guidance on Ralph plugin arguments, state management, delegation patterns, or execution loop behavior. Core behavioral skill for all Ralph Specum operations.
This skill should be used when the user asks to "verify a fix", "reproduce failure", "diagnose issue", "check BEFORE/AFTER state", "VF task", "reality check", "check test quality", "mock-only tests", or needs guidance on verifying fixes by reproducing failures before and after implementation, or detecting mock-heavy test anti-patterns.
This skill should be used when the user asks to "build a feature", "create a spec", "start spec-driven development", "run research phase", "generate requirements", "create design", "plan tasks", "implement spec", "check spec status", "triage a feature", "create an epic", "decompose a large feature", or needs guidance on spec-driven development workflow, phase ordering, or epic orchestration.
Go interface design, dependency direction, and package coupling patterns. Use when defining interfaces, choosing where to place them, designing constructors, injecting dependencies, or reviewing import graphs. Trigger on exported interfaces in provider packages, interfaces matching a single type, backwards imports (server importing client), or functions accepting entire config structs when they need one field. Supersedes generic Go interface guidance with stronger opinions on consumer-side interfaces and coupling.
Go type safety, standard library type preferences, and the 'parse don't validate' principle. Use when handling IP addresses, MAC addresses, network types, or any string-typed domain data. Trigger on net.IP usage (prefer netip.Addr), string MAC addresses (prefer net.HardwareAddr), stringly-typed variables that should be custom types, or reflect.DeepEqual where == suffices. Also trigger on 'parse don't validate' discussions or type conversion at boundaries.
Go platform/OS-specific code patterns for cross-platform projects. Use when writing or reviewing code that must work on multiple OSes (Linux, Windows), when you see noop stubs in _<os>.go files, runtime.GOOS checks, or OS-specific build tags. Supersedes generic Go guidance on build tags and OS-specific code. Trigger on any code that branches by operating system.
Go context propagation, goroutine lifecycle, and process shutdown discipline. Use when writing or reviewing code that spawns goroutines, manages process lifecycle, passes context through call chains, or handles graceful shutdown. Trigger on context.Background() outside of main/tests, fire-and-forget goroutines, custom exit channels where context would suffice, or missing context in function signatures. Also trigger when reviewing init/startup code that creates its own contexts instead of accepting one.
Go control-plane contract design for Azure/azure-container-networking. Use when changing CRD Go types, status/condition fields, response-code mapping, controller/reconciler bootstrap logic, or generated contract artifacts such as CRD manifests and rendered Dockerfiles. Trigger on edits under crd/, API type packages, response/status code enums, reconciler init or migration code, or any change that affects externally consumed state.
HTTP and REST contract design for Azure/azure-container-networking. Use when designing or reviewing HTTP handlers, routes, request/response types, query parameters, and action semantics. Trigger on GET handlers with bodies, PUT vs PATCH questions, action-heavy URL designs, redundant wrapper responses, or APIs that split a single resource operation across mismatched request shapes.
Go error string formatting, zap logging discipline, and adjacent observability naming for production services. Use when writing error messages, choosing log levels, shaping zap messages and fields, deciding between log-and-return or single-handling, or reviewing error/log quality. Trigger on capitalized error strings, metadata stuffed into message prefixes, zap.Any used for known types, vague metric/config names, bare root logger usage, or logs that describe code instead of outcomes. Complements samber/cc-skills-golang@golang-error-handling with stronger opinions on conciseness, field discipline, and level discipline.
Go code design boundaries — behavioral configuration vs scenario coupling, side effects in functions, function parameter minimality, abstraction timing, control-loop hysteresis, validator purity, and preflight-before-mutation. Use when designing config-driven behavior, reviewing functions that accept whole structs when they need one field, refactoring code that branches on scenario names deep in the stack, stabilizing reconcile loops that request/release on every pass, separating validation from mutation, or evaluating whether a helper function or constructor adds value. Trigger on scenario names (Swift, MTPNC, overlay) appearing in low-level functions, validators that patch inputs while checking them, batch mutations that can partially apply before failing, functions mutating passed references instead of returning values, flapping threshold decisions in reconcile loops, or unnecessary abstractions.
Go version upgrade procedure for Azure Container Networking. Use when upgrading Go minor/patch versions, bumping MS Go toolchain, fixing FIPS/systemcrypto configuration, updating Dockerfile templates, or responding to Go CVE patches. Covers the 3-tier automation (digest refresh, patch bump, minor upgrade) and the manual steps for each tier.
> One-shot efficiency audit of a file, diff, or whole repo across BOTH axes at speculative config) AND bloated prose (verbose comments, padded docstrings, redundant doc sections). Neither a pure code-minimizer nor a pure prose compressor does both in one pass. That's the point. Ranked report, biggest saving first; changes nothing. Use when the user says "chisle audit", "/chisle-audit", "audit this for bloat", "what can I cut", "review this PR for over-engineering and verbosity".
> Maximum-efficiency dev mode. Terse, precise prose with zero fluff combined with Use when user says "chisle mode", "activate chisle", "chislify", "be efficient", "be minimal", "no fluff", "yagni", or invokes /chisle.
> Quick-reference card for Chisle commands. One-shot display, not a persistent mode. Use when the user says "chisle help", "how do I use chisle", "what chisle commands", or invokes /chisle-help.
> speculative abstractions, reinvented stdlib, and verbose code that a lazier approach would shrink. One finding per line, no praise. Use when the user says "chisle review", "review this for bloat", or invokes /chisle-review.
Headless root-cause debugging loop for a Foreman worker whose tests, build, or acceptance check are failing — especially on a retry. Find the root cause before changing anything, fix at the source with a regression test, and never thrash on symptom patches. Used inside a foreman-tdd build session; emits no summary of its own.
Headless grilling pass that challenges an approved implementation plan against the existing codebase and domain model, then writes an ADR draft and a PRD draft into the Foreman feature directory. Self-answers every question it can from the code/docs and surfaces the rest as an "Open questions for reviewer" block instead of interviewing a live user.
Headless implementation-plan authoring for the Foreman planning stage. Explore the target repo first, then write a deep, decomposition-aware plan that the grill→ADR/PRD→issues pipeline can build on — goals, seams, data/interface changes, risks, sequencing, and testing strategy. No placeholders. Writes the plan body and stops.
Break an approved PRD into small, dependency-ordered, vertically-sliced implementation issues written as local files in the Foreman feature directory. Each issue ships a runnable acceptance check and a declared file footprint. No GitHub, no live quizzing of the user — emits files matching Foreman's issue schema with PRD traceability.
Headless end-to-end / web-app testing for the Foreman e2e stage. Derive end-to-end tests from the PRD's User Flows, drive the real application the way a user would (browser flows, screenshots, accessibility checks for web apps), make them pass via the configured e2e command, and emit the FOREMAN-SUMMARY block Foreman parses.
Stack-agnostic test-driven development loop for a single Foreman issue. Implements one vertical slice with strict red-green-refactor (one test at a time, never horizontal slicing) using the foreman-test wrapper, saves completion evidence, then emits a machine-readable FOREMAN-SUMMARY block Foreman parses.
Headless self-verification gate a Foreman worker runs before it claims an issue is done. Re-run the real commands, read the actual output, and only then write the FOREMAN-SUMMARY — evidence before claims, always. Used inside a foreman-tdd build session; emits no summary of its own.
PRD template and authoring rules for Foreman. Synthesizes a PRD from the approved plan and the grilled decisions and writes it as a local file in the Foreman feature directory. Does not interview the user and does not publish to any external issue tracker.
Discover and compare Jev and TypeSafe SDKs, integrations, applications, and evaluations. Use when selecting public resources for a typed-decision workflow or checking what evidence exists for a Jev claim.
Use when you need to install the embedded robot agents into .github/agents, .claude/agents, .cursor/agents, or .codex/agents, selecting the destination interactively and copying the embedded agent definitions from project assets. This should trigger for requests such as Install embedded agents; Bootstrap .github/agents; Bootstrap .cursor/agents; Bootstrap .claude/agents; Bootstrap .codex/agents; Copy robot agents. Part of Plinth Toolkit
Guides the creation of agile user stories. Use when the user wants to create a user story. This should trigger for requests such as Create a user story; Write a user story; I need to write a user story; Split feature requirements into user stories. Part of Plinth Toolkit
Use when you need to generate a checklist document with embedded commands inventory, following the embedded template exactly and producing INVENTORY-COMMANDS-JAVA.md in the project root. This should trigger for requests such as Create embedded commands inventory checklist; Generate INVENTORY-COMMANDS-JAVA.md; Use @001-commands-inventory; Inventory embedded Java project commands; List command files bundled for Java agents. Part of Plinth Toolkit
Guides the creation of detailed agile feature documentation from an existing epic. Use when the user wants to split an epic into feature files, derive features with scope and acceptance criteria, or plan feature documentation for stakeholders or engineering. This should trigger for requests such as Create features from an epic; Split epic into features; Feature files from epic; Derive features from epic; Break down an agile epic into deliverable features. Part of Plinth Toolkit
Guides the creation of agile epics with comprehensive definition including business value, success criteria, and breakdown into user stories. Use when the user wants to create an agile epic, define large bodies of work, break down features into user stories, or document strategic initiatives. This should trigger for requests such as Create an agile epic; Write an epic; I need to create an epic; Define an epic; Epic definition. Part of Plinth Toolkit
Use when you need to generate a checklist document with embedded agents inventory, following the embedded template exactly and producing INVENTORY-AGENTS-JAVA.md in the project root. This should trigger for requests such as Create embedded agents inventory checklist; Generate INVENTORY-AGENTS-JAVA.md; Use @002-agents-inventory; Inventory embedded Java agent definitions; List generated agent roles for Java development. Part of Plinth Toolkit
Use when you need to generate a checklist document with Java system prompts from skills.xml, following the embedded section template and producing INVENTORY-SKILLS-JAVA.md. This should trigger for requests such as Create Java system prompts checklist; Generate INVENTORY-SKILLS-JAVA.md; Use @003-skills-inventory; Inventory Java cursor rule skills; List available Java system prompt skills. Part of Plinth Toolkit
Use when you need to install the embedded project commands into command directories (.github/commands, .claude/commands, .cursor/command, .codex/commands), selecting the destination interactively and copying the embedded command definitions from project assets. This should trigger for requests such as Install embedded commands; Bootstrap .cursor/command; Bootstrap .claude/commands; Copy project commands; Install project command suite. Part of Plinth Toolkit
Use when you need to generate Architecture Decision Records (ADRs) for a Java project through an interactive, conversational process that systematically gathers context, stakeholders, options, and outcomes to produce well-structured ADR documents. This should trigger for requests such as Generate ADR; Create Architecture Decision Record; Document architecture decision; Architecture Decision Record for Java. Part of Plinth Toolkit
Claude Skills — questions
Answers built from the skills we actually parsed.