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Found 34 Skills
Write clear, plain-spoken code comments and documentation that lives alongside the code. Use when writing or reviewing code that needs inline documentation—file headers, function docs, architectural decisions, or explanatory comments. Optimized for both human readers and AI coding assistants who benefit from co-located context.
Voice conversations with Claude Opus 4.5 about your code projects. Receive calls from Claude or call Claude to discuss problems, brainstorm, and get code reviews.
Exit copilot mode — return to autonomous mode with full worktree enforcement.
Integrate GrepAI with Claude Code via MCP. Use this skill to enable semantic code search in Claude Code.
Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics
Write PRDs, specs, and project context optimized for coding assistants (Claude Code, Cursor, Copilot, Custom GPTs). Includes CLAUDE.md generation, session planning, and templates for creating documentation that tools can execute effectively.
Support skill providing the workflow, templates, and references for AI coding assistant rule authoring. Invoked by fusion-rules gateway agents — not intended for direct use.
Summarize recent SpecStory AI coding sessions in standup format. Use when the user wants to review sessions from .specstory/history, prepare for standups, track work progress, or understand what was accomplished.
Search and analyze AI coding assistant session history using Terraphim. Find past conversations, discover patterns, and learn from previous work. Supports Claude Code, Cursor, Aider, and other AI coding assistants.
Analyzes AI coding assistant sessions and generates an HTML report with workflow insights. Use this skill when the user asks to analyze sessions, generate a report, view usage patterns, check statistics, or review their coding workflow. Trigger phrases include "analyze my sessions", "generate a report", "show my stats", "how have I been using you", "session insights", "세션 분석", "리포트 생성", "사용 패턴".
Route AI coding queries to local LLMs in air-gapped networks. Integrates Serena MCP for semantic code understanding. Use when working offline, with local models (Ollama, LM Studio, Jan, OpenWebUI), or in secure/closed environments. Triggers on local LLM, Ollama, LM Studio, Jan, air-gapped, offline AI, Serena, local inference, closed network, model routing, defense network, secure coding.
Creates and reviews CLAUDE.md configuration files for Claude Code. Applies HumanLayer guidelines including instruction budgets (~50 user-level, ~100 project-level), WHAT/WHY/HOW framework, and progressive disclosure. Identifies anti-patterns like using Claude as a linter for style rules.