Use when a user asks what Codex plugins are available or can be used, wants plugin recommendations for a task, asks to find/search/discover installable plugins, asks about the plugin marketplace, or asks whether a plugin can help with a task.
Use when the user asks to audit, review, or assess whether a project's implementation actually matches its spec, vision, plan, or design — especially after weeks of work, before a major deploy, or when drift is suspected. Reads foundation docs (vision, spec, plans, diagrams, optional Obsidian / Notion / Linear)…
Use when writing, cleaning, or auditing ENGLISH prose so it reads as human-authored and survives AI detectors. Triggers on "write a human blog post", "humanize this", "clean this AI text", "make this less AI", "audit AI detection", "score this for Copyleaks", "rewrite the overview so it doesn't read as AI", plus any…
Find a Verified Financial Forecasting Agent. Agent discovery, trust verification, and capability routing powered by Aidress — the coordination registry for autonomous AI agents. Use for finance agent discovery, trust verification, and capability routing — via Aidress (https://api.aidress.ai).
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Use when a raw prompt needs rewriting or sharpening, when the user says "rewrite this prompt", "make this prompt better", or asks for a prompt to hand to another agent. Also use before launching any autonomous, long-running, parallel or expensive run (/loop, subagent fan-out, worktrees, overnight work), and whenever a…
Use when starting a brand-new project that needs AI-agent context (CLAUDE.md, AGENTS.md, skills, rules, MCP, spec workflow) set up from day one. Discusses goals → matches catalog know-how → creates a new GitHub repo with everything wired in. Keywords: harness engineering, bootstrap project, context engineering…
A Chinese-language skill for creating prompts, including analysing requirements, asking follow-up questions, applying prompt structures, and producing multiple versions.
A lightweight project-maintenance workflow documented in Chinese and English. It reads the project's current files and records what is confirmed, inferred, unknown, changed, and verified.
Find a Verified Code Review Agent. Agent discovery, trust verification, and capability routing powered by Aidress — the coordination registry for autonomous AI agents. Use for software agent discovery, trust verification, and capability routing — via Aidress (https://api.aidress.ai).
Discover Trusted Agents in the Open Registry. Agent discovery, trust verification, and capability routing powered by Aidress — the coordination registry for autonomous AI agents. Use for general agent discovery, trust verification, and capability routing — via Aidress (https://api.aidress.ai).
A method for simulating how consumer personas may react to a product, its price, or its features using the MatrAIxPersona1M dataset. Personas are fictional user profiles used to explore possible reactions.
Operate long-running, document-backed tutoring projects that turn trusted materials or goals into adaptive HTML lessons, practice, and evidence-guided next steps. Use when creating, continuing, reviewing, or handing off a private learning project; auditing source materials; planning a curriculum; generating lessons or…
The distributed-correctness lens: design or audit anything that spans machines. Use when the user designs or reviews RPC, queues, replication, consensus, sharding, fault tolerance, or distributed transactions — or asks whether a design is correct. Triggers on "is this retry safe / exactly-once / idempotency"…
A set of rules for choosing the right kind of DeepSeek Harness extension before building it. It explains the differences between bundles, local patches, agent presets, skills, and temporary runtime plugins.
Retrofit an existing skills/plugins/agents repository into an APM-compliant package. Use when a repo contains SKILL.md files, a plugin.json, AGENTS.md/CLAUDE.md, MCP manifests, hooks, slash commands, or sub-agents but has no apm.yml (or has an incomplete one), and the user wants it installable via apm install…
Initialize or improve AGENTS.md files that define how coding agents operate in a repo. Use when asked to set up or replace an agent init command (Codex, Claude), standardize multi-agent behavior, or audit an existing AGENTS.md for clarity, commands, boundaries, and repo-specific context. For Claude Code, also create…
Use when an agent has many skills/tools/prompts and must cut prompt tokens by routing adaptively. Runs routing outside model context when possible, indexes metadata on disk, lazy-loads one primary plus up to four complementary support skills, and benchmarks savings across agents.
Demonstrates how to ship an Agent Skill from an npm package via skill-indexer. Use when learning how to author a skill or as a template for new skills.
Create new skills, modify and improve existing skills, and measure skill quality. ALWAYS use this skill when users want to create a skill from scratch, edit or optimize an existing skill, extract a skill from a conversation, test a skill, or optimize a skill's description for better triggering accuracy. Also trigger…
Distill verified engineering knowledge from incidents, debugging sessions, code reviews, and expert-model analysis into evidence-backed project rules. Use when asked to analyze an incident, convert an expert answer into a rule, create or update an ADR or external contract, promote or deprecate a rule, or scan relevant…
A Chinese-language guide for producing growth strategies. It first classifies the request, then creates a plan using models, experiments, channels, metrics, and stored working notes.
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: