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Found 2,732 Skills
Archive a completed spec-driven change. Requires completed tasks, merges delta specs into main specs, then moves the change to archive/ with a date prefix.
Workflow for handling a Linear issue end-to-end. Uupdate Linear, create a git worktree from dev, implement the change, verify it, and open a GitHub PR linked to the issue.
Toolkit for creating and validating skills and subagents. Use when: creating a new skill (fast or full mode), validating an existing skill, deciding Skills vs Subagents, migrating docs to skills, estimating token cost, or running a security scan. Triggers: "create skill", "build skill", "validate skill", "new subagent", "skills vs subagents", "estimate tokens", "security scan".
Side role: find and correct bad signals, earn leaderboard points per Publisher-approved correction (max 3/day)
Verifica a Stack do N8N. Além disso analisa parâmetros, rotas Traefik, volumes, recursos e conformidade do stack N8N de Acordo com as Recomendações da Promovaweb.
Verifica a Stack do Kestra. Além disso analisa parâmetros, rotas Traefik, volumes, recursos e conformidade do stack Kestra de Acordo com as Recomendações da Promovaweb.
Invoke this skill when a user shares test code and questions whether it actually works as intended — not to run or fix the test, but to evaluate whether the test has real value. Triggers on: "is this test any good?", "would this catch a real bug?", "this test always passes — is that normal?", "review these tests before I commit", or "does this test verify anything meaningful?". Also triggers when someone suspects a test is useless, wants a pre-commit quality gate, or is unsure if an auto-generated test is worth keeping. The core question this skill answers: "Would this test fail if the feature broke?" If not, the test gets rejected. Do NOT use for generating new tests, fixing failing tests, or exploring application features.
Start here — turn source material into a validated agent skill. Orchestrates cogworks-encode (synthesis) and cogworks-learn (skill generation).
Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for GraphQL schemas, persisted queries, RPC manifests, generated clients, OpenAPI drift, hidden operations, and contract-to-handler mismatches. Use when the user asks to inspect GraphQL or RPC requests, compare client contracts to live handlers, recover hidden operations, trace generated clients, or explain how schema or contract drift produces the decisive behavior. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed here.
Use when the user needs to build MCP (Model Context Protocol) servers — tool definitions, resource management, prompt templates, transport layers, and client integration. Triggers: user says "MCP", "MCP server", "model context protocol", building tools for AI clients, creating AI integrations.
Personalized links without explicit login for authentication. Apply when implementing authentication flows that don't require traditional login.
Write the minimal production code needed to make all existing failing tests pass. No extra features, no test modifications, no refactoring. Use after tests are written and confirmed failing.