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Found 74 Skills
Build correct, consistent Agent Skills (create/update/delete/add content) using validated templates, safe defaults, and cross-skill consistency checks. Works across common agent CLIs that load skills from Markdown folders. Triggers: "new skill", "create skill", "build skill", "update skill", "delete skill", "add to skill", "skill template", "skill validation", "skill builder".
Validates skills against production-level criteria with 9-category scoring. This skill should be used when reviewing, auditing, or improving skills to ensure quality standards. Evaluates structure, content, user interaction, documentation, domain standards, technical robustness, maintainability, zero-shot implementation, and reusability. Returns actionable validation report with scores and improvement recommendations.
Create, restructure, and validate Claude Code skills following best practices. Handles directory structure, YAML frontmatter, progressive disclosure, credential management, self-learning with consolidation, and script organization. Use when creating new skills, restructuring existing skills, reviewing skills for quality, or asking about skill structure, patterns, or best practices.
Create, validate, and convert skills for the agent ecosystem. Enforces standardized structure for consistency. Enables self-evolution by creating new skills on demand, converting MCP servers and codebases to skills.
Executes the implementation plan from a specification. Loops through plan phases, delegates tasks to specialists, updates phase status on completion. Supports resuming from partially-completed plans.
Use when planning, scaffolding, validating, or packaging Claude skills inside Advanced Memory MCP.
Guides creation of effective Agent Skills with proper structure and validation. Use when users want to create a new skill, update an existing skill, or need guidance on skill design patterns, SKILL.md format, or verify.py implementation. NOT when just using existing skills (use those skills directly).
Create or refactor Ship Faster-style skills (SKILL.md + references/ + scripts/). Use when adding a new skill, tightening trigger descriptions, splitting long docs into references, defining artifact-first I/O contracts, or packaging/validating a skill.
Self-improving review loop for Ralph Wiggum skills. Reviews skills against best practices, implements improvements, and continues until two consecutive clean reviews. Use when validating or improving the ralph-prompt-* skill suite.
Chinese Guide for Creating Effective Skills. This skill should be used when users want to create a new skill (or update an existing one) to extend AI capabilities, including specialized knowledge, workflows, or tool integrations. The generated new skills should be described in Chinese.
TDD-style testing methodology for skills using fresh subagent instances to prevent priming bias and validate skill effectiveness. Use when validating skill improvements, testing skill effectiveness, preventing priming bias, measuring skill impact on behavior. Do not use when implementing skills (use skill-authoring instead), creating hooks (use hook-authoring instead).
Guides the agent through authoring and validating agent skills. Use when creating new skill directories, tightening skill metadata, extracting supporting references, or preparing skillgrade evals. Do not use for general app documentation, generic README editing, or non-agentic library code.