Agent Building skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

timeboxed-iterating

Use when the user specifies a task and a duration, and the work should be done iteratively by subagents over that time period

199 repo starsObserved in 5 repos
Agent Building

discipline

Bulletproof agent operating protocol. 15 failure-prevention rules distilled from 120+ real sessions and 10 agent definitions. Covers fabrication, constraint tracking, verification, scoping, retry discipline, and communication. Load before any task to prevent the most common agent failure modes.

199 repo starsObserved in 4 repos
Agent Building

autoresearch-universal

Self-improving prompt optimization using the Karpathy autoresearch pattern. Scans any repo, suggests optimization targets, auto-defines binary eval metrics, and runs an autonomous generate-eval-score-mutate loop to improve prompts over time. Use when the user asks to optimize, improve, or run autoresearch on anything in their codebase.

199 repo starsObserved in 1 repos
Agent Building

refine-write-article-skill

Analyze manual edits made to an AI-generated blog article and update the write-article skill with the learnings. Use after manually correcting an AI-drafted article to improve future article generation. Triggers: refine skill, learn from edits, update skill from article, improve article skill, analyze my edits.

199 repo starsObserved in 1 repos
Agent Building

ijfw-team

Generate project-specific agent teams during workflow Discovery. Trigger: 'set up a team', 'create agents for', or auto-triggered by ijfw-workflow deep mode after Discovery.

198 repo starsObserved in 2 repos
Agent Building

cortexdb

Use CortexDB for local-first AI memory, vector search, RAG, knowledge graphs, SPARQL/RDFS/SHACL, corpus-to-graph workflows, and MCP/tool calling. Use when working with CortexDB, embeddings, memory, RAG, GraphRAG, knowledge graph, RDF, SPARQL, SHACL, memoryflow, graphflow, or MCP tools.

198 repo starsObserved in 1 repos
Agent Building

cortexdb-memory-hermes

Give a Python agent (such as Hermes Agent by Nous Research) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client PyPI package. Use when a Python agent needs to remember facts about a user across turns/sessions, recall them by meaning, store entities and relations, or answer multi-hop questions — and when the user mentions CortexDB, agent memory, long-term memory, RAG, knowledge graph, Hermes, or "remember this".

198 repo starsObserved in 1 repos
Agent Building

cortexdb-memory-openclaw

Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and the cortexdb-client npm package. Use when a Node agent needs to remember facts about a user across turns/sessions, recall them by meaning, store entities and relations, or answer multi-hop questions — and when the user mentions CortexDB, agent memory, long-term memory, RAG, knowledge graph, OpenClaw, or "remember this".

198 repo starsObserved in 1 repos
Agent Building

find-and-install

Find and install skills from skills.sh when a capability gap is detected

198 repo starsObserved in 1 repos
Agent Building

ijfw-agents-md

Maintain canonical AGENTS.md (open spec). Trigger: 'agents.md', 'update AGENTS.md', or auto-fired by ijfw-team after agent generation.

198 repo starsObserved in 1 repos
Agent Building