Use when the user wants to set up Project Spine for a new project — phrases like "new client project", "kickoff", "create AGENTS.md from scratch", "generate agent instructions for this repo", "set up project context". Runs spine init → edits brief → spine compile → reviews outputs. For stale files use…
A skill for managing predefined agent profiles, which are saved sets of behavior, preferences, operating rules, and metadata for coding agents and development tools.
Canonical LangGraph patterns for typed State, conditional routers, interrupt/resume, checkpointers, structured outputs, tool/MCP wiring, subgraphs, parallel branches, async streaming, and LangSmith tracing. Use when designing or implementing any LangGraph node, router, or graph. Reference; not a runbook.
Onboarding layer that maps the user's opening intent to relevant agent skills before work begins. Use when the user describes a new project, multi-step workflow, file-heavy setup, or asks which skills apply; also when re-evaluating mid-session after a major pivot. Reads references/skill-index.md and applies…
Use when turning a vague Web/App product idea, feature, bugfix, refactor, or LLM pipeline change into specs, plans, execution-window handoffs, tests, and reviewable AI-assisted implementation.
Use this skill whenever a developer wants to set up, design, audit, or debug an automated agent loop for their project. Triggers include: "help me set up a loop", "I want agents to run while I sleep", "automate my CI triage", "set up a goal loop", "review my loop setup", "design an agentic workflow", "loop…
Benchmark collection and evaluation workflow for agent model assignment reviews. Use when pulling benchmarks, evaluating cost/performance, or deciding which models to use for which agents.
This skill should be used for designing and evaluating compression strategies for long-running agent sessions — hierarchical summarization, selective retention, compaction triggers, quality thresholds, and handoff summaries. Route foundational context concepts to context-fundamentals, failure diagnosis to…
Author or refine a single project skill under .agents/skills/ (draft SKILL.md, optional evals, description triggering). Use when the user runs /create-skill or asks to create, edit, or optimize one skill in this repo. Primary outcome: a durable SKILL.md. Evals/benchmarks are optional phases when the user wants them …
Search across all registered skill repos for a skill that matches the user's intent. Use when the user asks "do I have a skill for X", "which skill does Y", "find a skill that …", "is there a skill to …", "list my skills", or any "find/locate/search for a skill" phrasing. The script takes THREE positional queries…
A workflow guide for improving how AI coding agents work on software projects. It covers project setup, prompts, tools, tests, review, memory, and release processes.
Expert-level skill for building production-ready AI agents and agentic systems using the Agno framework. Covers agent architecture, multi-agent teams, AgentOS deployment, tool integration, RAG patterns, and production best practices.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, update or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Prepare, validate, package, and publish portable Agent Skills through GitHub or npm. WHEN: "publish a skill", "publish SKILL.md", "ship a skill", "release an agent skill", "make this skill installable", "add a skill to my package".
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.
Create, read, update, and optimize GPTBots (https://www.gptbots.ai) Agent and Workflow configurations (.bot / .flow files), and drive published Agents/Workflows via the GPTBots Open API. Use this skill whenever the user mentions GPTBots, provides or references a .bot or .flow file, wants to build/optimize a chatbot…
Use agentkaizen to measure and prove whether your AI coding agent actually follows instructions. Works natively — no installation required. Use this skill when: you want to score a recent Codex or Claude Code session and check rule compliance (did it branch before work? stay within tool limits?); you changed AGENTS.md…
Comprehensive guide for building AI agents with LangChain TypeScript SDK. Covers LangChain agents, LangGraph orchestration, Deep Agents harness, tools, models, middleware, memory, streaming, and provider integrations. Use when working with langchain npm packages, creating ReAct agents, building stateful workflows with…
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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: