Development

Fast log file analysis with lnav, multi-framework support (Laravel, CodeIgniter, React, Next.js), automatic log pruning, and 70-80% token savings vs reading entire logs

Create hierarchical Lark tasks from markdown test plans. ACTIVATE THIS SKILL when user: - Says "create lark tasks" or "process test file" or "convert test plan" - Mentions "lark" + "test" or "test scenarios" or "test cases" - Wants to convert markdown test documentation into Lark tasks - Has a test file and wants it in Lark WORKFLOW: 1. Ask user for test file path (required) 2. Ask for owner, priority, target date (optional) 3. Execute: python .claude/skills/lark-agent/run.py [file] --owner...

Token-efficient Lark task creation from markdown test files. Uses 60-70% fewer tokens than lark-agent by executing MCP calls directly. ACTIVATE THIS SKILL when user: - Says "create lark tasks" or "lark agent simple" or "efficient lark" - Wants token-efficient Lark task creation - Has a test file and wants it in Lark with minimal overhead WORKFLOW: 1. Parse markdown file to compact JSON (data only, no workflow) 2. Execute Lark MCP calls directly from slash command 3. Report results DO NOT c...

Replace with description of the skill and when Claude should use it.

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

Update project changelog with uncommitted changes, synchronize package versions, and create version releases with automatic commit, conditional git tags, GitHub Releases, and push

AgentHero AI - Hierarchical multi-agent orchestration system with PM coordination, file-based state management, and interactive menu interface. Use when managing complex multi-agent workflows, coordinating parallel sub-agents, or organizing large project tasks with multiple specialists. All created agents use aghero- prefix.

Test-driven development (TDD), unit/integration/UAT testing strategies, test organization, coverage requirements, and GenAI validation patterns. Use when writing tests, validating code, or ensuring quality.

State persistence patterns for autonomous-dev including JSON persistence, atomic writes, file locking, crash recovery, and state versioning. Use when implementing stateful libraries or features requiring persistent state.

Patterns for agent skill discovery, referencing, and composition using progressive disclosure architecture. Use when building agents, composing skills, or optimizing context usage. TRIGGER when: skill discovery, agent integration, skill composition, progressive disclosure. DO NOT TRIGGER when: implementing features, writing tests, documentation-only changes.

GenAI-powered semantic validation - detects outdated docs, version mismatches, and architectural drift

Security best practices, API key management, input validation. Use when handling secrets, user input, or security-sensitive code.

4-phase research methodology: codebase recon, targeted web search, deep source analysis, and evidence synthesis. Use when investigating patterns, evaluating libraries, or analyzing best practices. TRIGGER when: research, investigate, evaluate options, compare libraries. DO NOT TRIGGER when: implementation tasks, bug fixes, routine code changes.

Python code quality standards (PEP 8, type hints, docstrings). Use when writing Python code.

PROJECT.md alignment patterns and validation strategies

Semantic validation patterns for PROJECT.md alignment (GOALS, SCOPE, CONSTRAINTS, ARCHITECTURE)

Structured logging, debugging techniques (pdb/ipdb), profiling (cProfile/line_profiler), stack traces, performance monitoring, and metrics. Use when adding logging, debugging issues, or optimizing performance.

Standardized library design patterns for autonomous-dev including two-tier design, progressive enhancement, non-blocking enhancements, and security-first architecture. Use when creating or refactoring Python libraries.

Documentation standards and automation. Use when updating docs, writing guides, or synchronizing code with documentation.

Documentation consistency enforcement - prevents drift between README.md and actual codebase state. Auto-activates when updating docs, committing changes, or working with skills/agents/commands.

This skill should be used when reviewing code or preparing code for review. It provides guidelines for what to look for in reviews, how to write constructive feedback, and standards for review comments.

This skill should be used when designing system architecture, making architectural decisions, or evaluating design patterns. It provides guidance on common patterns, ADR templates, design principles, and tradeoff analysis.

API integration patterns for autonomous-dev including subprocess safety, GitHub CLI integration, retry logic, authentication, rate limiting, and timeout handling. Use when integrating external APIs or CLI tools.

REST API design best practices, versioning strategies, error handling, pagination, and OpenAPI documentation. Use when designing or implementing REST APIs, HTTP endpoints, or API documentation.