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Found 3,071 Skills
Build public-facing web forms for data collection without Desk access. Use when creating customer submission forms, feedback forms, or self-service portals with Frappe Web Forms.
Comprehensive protocol for validating root causes of software issues. Use when you need to systematically debug a complex bug, flaky test, or unknown system behavior by forming hypotheses and validating them with specific tasks.
Use when analyzing plugin structures, MCP tools, and plugin security patterns.
Use when improving agent prompts, frontmatter, and tool restrictions.
Validate specifications, implementations, constitution compliance, or understanding. Includes spec quality checks, drift detection, and constitution enforcement.
Captures human source verification for tracks, timestamps it, and updates track files. Use when sources need human review before generation.
Comprehensively reviews Python libraries for quality across project structure, packaging, code quality, testing, security, documentation, API design, and CI/CD. Provides actionable feedback and improvement recommendations. Use when evaluating library health, preparing for major releases, or auditing dependencies.
Comprehensive content review and quality assurance for TASKS documents - validates task completeness, SPEC alignment, implementation contracts, and identifies issues requiring manual attention
When reporting that work is completed, fixed, or ready for use before submitting or creating a PR - you need to run verification commands and confirm the output before making any success claims; evidence always precedes assertion
Explain and document MTHDS bundles. Use when user says "what does this pipeline do?", "explain this workflow", "explain this method", "walk me through this .mthds file", "describe the flow", "document this pipeline", "how does this work?", or wants to understand an existing MTHDS method bundle.
Comprehensive toolkit for validating, linting, testing, and automating Ansible playbooks, roles, and collections. Use this skill when working with Ansible files (.yml, .yaml playbooks, roles, inventories), validating automation code, debugging playbook execution, performing dry-run testing with check mode, or working with custom modules and collections.
Surface, prioritize, and track risky assumptions before investing significant effort. Use when starting a new project, before major feature work, when feeling uncertain about direction, when the user says "I think users want...", "we assume...", "probably...", or before any build decision that hasn't been validated with real users.