orchestrating-multi-agents
Use for explicit multi-subagent orchestration when tasks are independent and parallelization improves quality or speed while preserving deterministic merge.
291 repo starsObserved in 1 repos
Agent Building
Agent Building skills
Browse reusable Agent Skills, each with a clear purpose and practical guidance.
context-modes
Structured work modes for agent sessions. Set LACP_CONTEXT_MODE to activate: tdd (red-green-refactor), debugging (4-phase root cause), sprint (pre-agreed criteria), verification (evidence-before-claims), brainstorm (design first), think (pause-and-reflect), orchestrate (task decomposition). Each mode injects behavioral rules at session start.
290 repo starsObserved in 2 repos
Agent Building
cowork-trainer
Use the ResearchSwarm-backed self-optimizing loop to train the agent to operate ("cowork") the Open Cowork desktop app (third_party/open-cowork-main). Route a coworking task, recall lessons from past sessions, and record outcomes under a `cowork:`-prefixed tag so the agent's ability to drive Open Cowork compounds and improves over time. Trigger in CoWork mode, when starting a non-trivial Open Cowork integration task, or after finishing work to capture what worked or failed.
290 repo starsObserved in 1 repos
Agent Building
loop-engineering-bruteforce
Use the vendored loop-engineering toolkit to scaffold, audit, and continuously improve autonomous loops in this GodCoder repository, and pair the result with the ResearchSwarm bridge for route/log/optimize memory.
290 repo starsObserved in 1 repos
Agent Building
openclaw-workspace
Use when maintaining or optimizing OpenClaw workspace files — AGENTS.md, TOOLS.md, SOUL.md, USER.md, IDENTITY.md, HEARTBEAT.md, BOOT.md, MEMORY.md, and related checklists and memory files. Covers workspace auditing, token budget analysis, new agent workspace setup from scratch, memory distillation, and cross-file consistency reviews.
290 repo starsObserved in 1 repos
Agent Building
self-optimizing-harness
Use the ResearchSwarm-backed self-optimizing harness to route a coding task, recall lessons from past sessions, and record outcomes so the agent compounds knowledge and improves over time. Trigger when starting a non-trivial task, when you want prior context, or after finishing work to capture what worked or failed.
290 repo starsObserved in 1 repos
Agent Building
session-hardening
Production hardening for agent sessions. Includes pretool guards (blocks rm -rf, co-author injection, publishing without approval, data exfiltration), continuous QA (runs tests every N file writes), and session context injection (git state, focus brief, handoff artifacts). Activates automatically via hooks.
290 repo starsObserved in 1 repos
Agent Building
skills-vote
Find the most relevant external agent skills for the current task, then submit grounded feedback about which skills were actually used and useful in the same session. Whenever you start a task, use this skill first.
290 repo starsObserved in 1 repos
Agent Building
skills-vote-local
Use when retrieving the most relevant skills from a local or private skill library instead of relying on network-based skill discovery.
290 repo starsObserved in 1 repos
Agent Building
prompt-template-authoring
Write and run custom Pi prompt templates (slash commands) for this extension. Use when creating templates with model selection, deterministic pre-steps, loops, chains, subagents, or best-of-N compare flows.
289 repo starsObserved in 2 repos
Agent Building