38,263 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
A set of guidelines for designing agent skills—small instruction packages that teach coding agents how to handle tasks. It focuses on making their behavior predictable and allowing skills to work together.
★not rated 7 2mo agoA
tokens not measured
originalMIT
Design, build, validate, and publish production-ready Codex skills. Use when Codex needs to turn a repeated workflow or new capability into a new skill, organize its scripts/references/assets, forward-test it before first release, or package it as an installable repository.
Drafts a goal+rider document pair that briefs an autonomous coding agent on one round of work — a goal file under 4,000 characters (sized to fit the /goal command in both Claude Code and Codex) plus an unbounded rider with phased plans and named depth tests. Use when the user says "draft a goal", "write a goal+rider"…
An adapt-first playbook that helps Opus (or any Claude model) pick up the work habits that made Fable effective — render-level verification, hypothesis-driven debugging, delegation guards, input fidelity, confirm-before-irreversible, and execution rhythm. It does NOT auto-inject rules or fake model capability. Its…
★not rated 7 3mo agoA
tokens not measured
originalMIT
Internal test harness for plugin maintainers. End users should not invoke this. Runs synthetic personas through critical journeys against the plugin and produces LLM-judge findings reports. Trigger words "/test-personas", "run the test harness", "test the plugin end-to-end", "run the test personas".
Strategic document generation for agentic applications. Generate 23 design documents following the North Star methodology: brand guidelines, architecture blueprints, competitive analysis, and more.
★not rated 7 5mo agoA
tokens not measured
originalMIT
Stop-hook that audits assistant output for speculation, ungrounded causality, pseudo-quantification, and completeness overclaims — blocks completion to force evidence-first rewrites.
★not rated 7 5d agoA
tokens not measured
originalMIT
Install structured self-improvement loops with instinct-based learning into Claude Code — research, plan, execute, verify, reflect, learn, iterate. On-demand or weekly analysis to save tokens. Supports multi-agent parallel analysis.
Use this skill when a task is best handed off to another coding agent in the endy stack — OpenCode (multi-model worker, fast refactors, test writing), CommandCode/cmd (Kimi K2.6 / DeepSeek), Hermes (Nous Research, tool-heavy), Gemini, or Claude. Covers three delivery modes: short blocking calls, long detached tmux…
MCP server "frontier-orchestrator" as configured in luckeyfaraday/frontier-orchestrator. Runs ${CLAUDE_PROJECT_DIR:-.}/dist/src/index.js with node. Needs 1 environment variable to run.
★not rated 7 2mo agoA
tokens not measured
originalMIT
The Filter (兔). Orchestrator and post-processor that makes LLM output actually readable. Invokes other zodiac animals based on what the user needs, then synthesizes and reshapes their raw output for the specific human reading it. Breaks the LLM default of audience-blind verbosity — walls of text, wrong detail level…
Daily paper scout for Auto-Skill and Auto-Rubric research. Use when: searching for new papers on self-evolving agents, skill evolution, rubric learning, preference alignment, reward modeling, agentic evolution. Searches arxiv for latest papers, recommends noteworthy ones, and updates the Awesome-AutoSkill-AutoRubric…
Use when auditing, pruning, or cleaning up an agent's entire existing rule set in one bulk pass across every rule source at once (all CLAUDE.md files, all memory entries, AGENTS.md, ADRs, COORDINATION). This is whole-corpus hygiene; NOT for adding, editing, or fixing an individual rule (just edit that file directly).
Route token-heavy context, noisy shell logs and output through the smallest measured CLI or projection before loading heavy tools; recall past agent sessions before re-deriving; fan out to free lanes; benchmark cheap subagent workflows without broad prompt bloat.
Turns Claude into an agent-design expert: the 21 agentic design patterns (concepts, no code) for choosing, comparing, and composing the right patterns when building AI agents.
MCP server "code-index-mcp" as configured in trondhindenes/code-index-mcp. Launched with https://github.com/trondhindenes/code-index-mcp/releases/download/1.0.9/code-ind.
★not rated 7 9mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: