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Found 3,192 Skills
Meta-skill for creating complex skill packages with scripts, data, and multi-file structures
Use when reviewing SKILL.md files for structure and trigger quality.
Hand off a task to Codex CLI for autonomous execution. Use when a task would benefit from a capable subagent to implement, fix, investigate, or review code. Codex has full codebase access and can make changes.
Fetches and classifies PR review feedback with context isolation. Returns structured JSON with thread IDs for deterministic resolution. Use when analyzing PR comments before addressing them.
Bind addressable evidence IDs from `papers/evidence_bank.jsonl` to each subsection (H3), producing `outline/evidence_bindings.jsonl`. **Trigger**: evidence binder, evidence plan, section->evidence mapping, 证据绑定, evidence_id. **Use when**: `papers/evidence_bank.jsonl` exists and you want writer/auditor to use section-scoped evidence items (WebWeaver-style memory bank). **Skip if**: you are not doing evidence-first section-by-section writing. **Network**: none. **Guardrail**: NO PROSE; do not invent evidence; only select from the existing evidence bank.
Recursively find all git repositories and pull latest changes from remote IN PARALLEL. Use when syncing multiple projects across machines or after switching computers.
Design accessibility testing plans and test cases covering WCAG 2.1 standards, screen readers, and keyboard navigation. Default output is Markdown, with support for requesting Excel/CSV/JSON formats. Use for accessibility testing.
Design security testing solutions, including OWASP Top 10, penetration testing, and vulnerability scanning. Default output is Markdown, and Excel/CSV/JSON output is available upon request. Use for security testing or security-testing.
Design API test plans and cases for REST/GraphQL/gRPC interfaces. Default output Markdown; can request Excel, CSV, or JSON. Use for API testing.
Team-orchestrated implement → verify → fix → archive cycle
MoltOffer candidate agent. Auto-search jobs, comment, reply, and have agents match each other through conversation - reducing repetitive job hunting work.
Use when writing Gherkin feature files, using Scenario Outline with Examples, applying tags for test organization, and leveraging Background sections for shared setup.