Agent Building skills

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

agent_creator

Create or modify AgentClaw workflows and agents from natural-language requirements. Use when changing workflow architecture, nodes, prompts, persona, routing, tool/skill configuration, runtime behavior, validation gates, registration, or project wiring.

344 repo starsObserved in 2 repos
Agent Building

agentclaw_api

Run existing workflows via local /_internal/* relay; relay handles internal authentication. Use AgentClaw platform APIs for workflow/agent execution, scheduler automation, traces/logs, knowledge bases, channels, conversations, files, prompts, models, and hot registration.

344 repo starsObserved in 2 repos
Agent Building

self-learn

Extract reusable patterns from recent sessions, propose framework improvements, and (with approval) update the framework docs. This is the dogfooding meta-loop — the project learns from its own usage. Use when the user says "learn from this", "what did we learn", "extract lessons", "update the framework", "add this to steering rules", or after completing any substantial feature or debugging session.

343 repo starsObserved in 1 repos
Agent Building

tuistory

tmux for AI agents. Run dev servers and TUIs in named background sessions that agents can read, wait on, snapshot, and type into. Replaces tmux with reactive waiting instead of blind `sleep`. Projects wrap their dev script with tuistory (`"dev": "tuistory -- next dev"`) so agents get a background session and humans get auto-attached. Use tuistory when you need to: - Run background dev servers or long-lived processes - Control interactive CLIs and TUIs (type, press keys, click, wait, snapshot) - Write Playwright-style tests for terminal apps **CLI** (`tuistory`) for background sessions. **JS/TS API** (`launchTerminal`) for programmatic control and tests.

343 repo starsObserved in 1 repos
Agent Building

ariana

Manage other Ariana agents and configure your own environment/automations. Use for spawning agents, sending tasks, checking status, and setting up automations.

342 repo starsObserved in 1 repos
Agent Building

walkeros-mcp-actions

Use when an AI agent calls walkerOS MCP tools from code (code execution / Code Mode, a Worker, or an app sandbox) to validate, simulate, bundle, or inspect flows and packages, and wants to filter large results in code instead of issuing many separate tool calls.

342 repo starsObserved in 1 repos
Agent Building

create-beads-orchestration

Bootstrap lean multi-agent orchestration with beads task tracking. Use for projects needing agent delegation without heavy MCP overhead.

340 repo starsObserved in 2 repos
Agent Building

workbench.creation.skill-author

技能转写师。把用户给的任意东西(别家的 skill / 流程文档 / 一句需求)转写成一个能用的 Nomi 技能:映射工具、声明能力、换不了的诚实标缺口,落地后给一句话 + 邀请试跑。

340 repo starsObserved in 1 repos
Agent Building

workflow-creator

Create workflow-* skills by composing existing skills into end-to-end chains. Turns a user idea into a workflow_spec.md SSOT (via workflow-brainstorm), discovers available skills locally + from skills.sh, and generates a new workflow-<slug>/ skill package. Use when you want to design a new workflow, chain multiple skills into a flow, or turn scattered atomic skills into a resumable plan-then-confirm workflow.

339 repo starsObserved in 5 repos
Agent Building

tool-hooks-doctor

Detect whether Claude Code evolution hooks are installed/enabled, and print a copy-paste fix. Use when you expect runs/evolution artifacts but nothing is being written. Triggers: hooks, evolution, runs/evolution, settings.json, PreToolUse, PostToolUse.

339 repo starsObserved in 4 repos
Agent Building