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Found 1,000 Skills
Detects fabricated content, false citations, and unverifiable claims in agent outputs. Uses source verification and consistency checking. Activate on 'detect hallucination', 'fact check', 'verify claims', 'check accuracy', 'find fabrications'. NOT for validation (use dag-output-validator) or confidence scoring (use dag-confidence-scorer).
Use daily frequency data of natural gas and fertilizer prices to verify whether the narrative of "natural gas price surge → fertilizer supply constraints/breach of contract → fertilizer price surge" holds, and output key turning points and lead-lag analysis that can be marked on charts.
Guide for authoring comprehensive PRDs with parallel planning support. Use for drafting technical specifications, defining requirements, and synthesizing planner outputs. Use proactively when creating PRDs, architecture designs, or implementation plans. Examples: - user: "Draft a PRD for user auth" → create PRD with purpose, requirements, and scenarios - user: "Analyze these PRD requirements" → verify SHALL/MUST usage and scenario structure - user: "Synthesize planner outputs" → merge the strongest parts of multiple generated PRDs - user: "Create a PRD template" → setup standard sections and placeholder content
Analyze GitHub issues by link or issue number. Use when a user says "analyse issue"/"analyze issue" or provides a GitHub issue URL/number and asks to fetch the issue content, verify it matches the current repo, and inspect local code to confirm the problem.
Receive and verify FusionAuth webhooks. Use when setting up FusionAuth webhook handlers, debugging JWT signature verification, or handling authentication events like user.create, user.login.success, user.registration.create, or user.delete.
Iterative execution methodology. Small steps, verify each, adapt based on results.
Manual QA testing — verify features end-to-end as a user would, using every tool available (browser, macOS, bash, APIs). Focuses on what formal test suites cannot capture: visual correctness, UX flows, usability judgment, integration reality, edge cases, and failure modes. Standalone or composable with /ship. Triggers: qa, qa test, manual test, test the feature, verify it works, exploratory testing, smoke test, end-to-end verification.
Receive and verify GitLab webhooks. Use when setting up GitLab webhook handlers, debugging token verification, or handling repository events like push, merge_request, issue, pipeline, or release.
Specialized integration evaluator for the Evaluate-Loop. Use this for evaluating tracks that integrate external services — Supabase auth/DB, Stripe payments, Gemini API, third-party APIs. Checks API contracts, auth flows, data persistence, error recovery, environment config, and end-to-end flow integrity. Dispatched by loop-execution-evaluator when track type is 'integration', 'auth', 'payments', or 'api'. Triggered by: 'evaluate integration', 'test auth flow', 'check API', 'verify payments'.
Validate SKILL.md frontmatter and .feature-radar/ files against format rules. Runs validate.sh, reports errors/warnings, and auto-fixes issues. MUST use this skill after editing any SKILL.md or .feature-radar/ file — catches format bugs like the 1024-char description limit before they break skill registration. Use when: - User says "validate", "check format", "lint skills", "run validation" - You just edited a SKILL.md (description, name, or body) — run proactively - You created or modified files in .feature-radar/ — run proactively - Before committing changes that touch skills/ or .feature-radar/ - User asks "are my skills valid?", "verify skills", "check skill format" IMPORTANT: Use this proactively after ANY edit to skills/ or .feature-radar/ files, even if the user doesn't ask for it. Format validation prevents silent breakage.
Multi-layer quality assurance with 5-layer verification pyramid (Rules → Functional → Visual → Integration → Quality Scoring). Independent verification with LLM-as-judge and Agent-as-a-Judge patterns. Score 0-100 with ≥90 threshold. Use when verifying code quality, security scanning, preventing test gaming, comprehensive QA, or ensuring production readiness through multi-layer validation.
Translates Mermaid sequenceDiagrams describing cryptographic protocols into ProVerif formal verification models (.pv files). Use when generating a ProVerif model, formally verifying a protocol, converting a Mermaid diagram to ProVerif, verifying protocol security properties (secrecy, authentication, forward secrecy), checking for replay attacks, or producing a .pv file from a sequence diagram.