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Found 12,032 Skills
Expert guidance on AI Agent Harness architecture based on the comprehensive Claude Code analysis book
UI dashboard for visualizing and controlling Hermes multi-agent orchestration with kanban delegation
Analyze an in-progress git branch, compare it with the current master/main using a subagent, derive practical lessons, and generate a concise redo handoff. Use when restarting a messy branch, redoing work cleanly, extracting lessons from current changes, or preparing another agent to verify the handoff, align with the user, and rebuild from the default branch.
Coordinate multi-perspective project, code, docs, design, or delivery reviews into focused recommendations. Use for multiple subagents, perspectives, named roles like UI/UX, DevOps, architecture, security, docs, or integrated feedback before changes.
Use to review uncommitted changes and recent commits in the working tree. Dispatches 8 specialized review agents in parallel and returns a consolidated report
INTERNAL sub-agent for blind 9-dimensional rubric scoring. **NOT a user-facing skill — do NOT invoke from the main conversation.** It is called via the Task tool by cheat-score / cheat-predict / cheat-bump to generate a context-isolated score for a script. It ONLY accepts script_path + rubric_notes_path; any other input will be refused. It outputs strict JSON: 9 dimensions × {score 0-5, confidence enum, one-line reason}. **It strictly refuses to read** .cheat-state.json, predictions/*, retro sections, or any content that may leak post-publish data. This is Channel B in the 3-channel calibration model (A=main, B=blind sub-agent, C=cross-model).
Terminal AI agent CLI for Google Gemini and Antigravity models with slash commands, MCP server support, and coding assistance
Review and approve (or reject) pending playbook update proposals from the playbook-monitor agent and apply approved changes to the practice profile. Use when the playbook-monitor agent has surfaced proposals, when the user says "review playbook proposals", "what playbook updates are pending", or wants to step through deviation-driven playbook changes.
Apiiro CLI commands for querying the Guardian AI agent: ask security questions, get analysis and insights about a repository, and manage repository detection. Use this skill whenever the user wants AI-powered security analysis, security posture review, or wants to ask questions about their codebase's security. Also trigger when they need deep analysis of authentication flows, attack surfaces, or want an AI to explain security concepts. Even without mentioning "apiiro" or "guardian", trigger when the user asks things like "is this code secure?", "what's the attack surface here?", or "explain this vulnerability". For dedicated STRIDE threat modeling of a design or feature spec, use the apiiro-threat-model skill instead. For fixing a known risk, use apiiro-fix.
Validate and auto-repair YAML frontmatter on brain pages. Catches malformed pages before they enter the brain (missing closing
Fast, accurate code search for AI agents using ~98% fewer tokens than grep+read. Indexes any local or remote repository in under a second (~250ms on CPU, no GPU or API key needed). Supports natural-language and symbol queries, semantic similar-code discovery, and MCP server integration for Claude Code, Codex, Cursor, and OpenCode. Python library available for programmatic use. Triggers on: semble, code search, semantic code search, semble search, token-efficient search, find code, code search mcp, agent code search, semble find-related, semble savings.
Install and use China-focused education Agent Skills for textbook sync, exam prep, mistake review, daily practice, and teacher workflows with Hermes Agent