Loading...
Loading...
Found 9,897 Skills
Build comprehensive ARCHITECTURE.md files for any repository following matklad's canonical guidelines. This skill should be used when creating codebase documentation that serves as a map for developers and AI agents, auditing existing repos for architectural understanding, or when users ask to 'document the architecture', 'create an architecture.md', or 'map this codebase'. Produces bird's eye views, ASCII/Mermaid diagrams, codemaps, invariants, and layer boundaries.
Generates a comprehensive milestone progress review including feature completeness, quality metrics, risk assessment, and go/no-go recommendation. Use at milestone checkpoints or when evaluating readiness for a milestone deadline.
Workflow orchestration for complex coding tasks. Use for ANY non-trivial task (3+ steps or architectural decisions) to enforce planning, subagent strategy, self-improvement, verification, elegance, and autonomous bug fixing. Triggers: multi-step implementation, bug fixes, refactoring, architectural changes, or any task requiring structured execution.
Commit, create PR, and merge with CI skipped. Disables GitHub Actions workflows via API before push, re-enables after merge. Use when: shipping trivial changes (renames, typos, config), bypassing CI for safe changes, fast-tracking PRs. Triggers: /git-ship, commit and merge skip ci, ship without ci, fast merge.
Google Gemini CLI code review with Gemini 2.5 Pro, 1M token context, CI/CD integration
Investigate and analyse Rollbar errors, items, occurrences, deploys, and project health using the rollbar CLI. Use when asked to investigate Rollbar errors, search error items, check deploy status, run RQL queries, get occurrence details, or analyse any Rollbar data.
Python testing strategies using pytest, TDD methodology, fixtures, mocking, parametrization, and coverage requirements.
Load automatically when planning, researching, or implementing Medusa storefront features (calling custom API routes, SDK integration, React Query patterns, data fetching). REQUIRED for all storefront development in ALL modes (planning, implementation, exploration). Contains SDK usage patterns, frontend integration, and critical rules for calling Medusa APIs.
structlog - structured logging library for Python with native JSON support, context binding, and processor pipeline. Integrates with FastAPI, Django, and standard logging module. USE WHEN: user mentions "structlog", "python structured logging", "context binding", asks about "JSON logging python", "fastapi logging", "django structured logging" DO NOT USE FOR: Standard Python logging - use `python-logging` instead, Node.js logging - use `pino` or `winston`, Java logging - use `slf4j` or `logback` instead
Use when reviewing or editing research manuscripts, journal articles, reviews, or perspectives. Invoke when user mentions manuscript, paper draft, article, research writing, journal submission, reviewer feedback, or needs to improve scientific writing clarity, structure, or argumentation in their manuscript.
Readiness checklist for homelab VLAN segmentation, local DNS filtering, and WireGuard-style remote access before changing router, firewall, DHCP, or VPN configuration.
Analyze competitor repositories with an evidence-based approach. Use this when tracking competitors, creating competitor profiles, or generating competitive analysis. CRITICAL - all analysis must be based on actual cloned code, never assumptions. Triggers include "analyze competitor", "add competitor", "competitive analysis", or "竞品分析".