skills/ship-faster/skills/tool-openclaw/SKILL.md
Help users install, configure, and operate OpenClaw (gateway, channels, nodes, plugins). Use when answering OpenClaw setup/debug questions; use the local docs snapshot bundled with this skill as the source of truth. Triggers: openclaw, clawdbot, clawd, clawdhub, gateway, onboard, channels login, whatsapp, telegram, discord, mattermost, pairing, nodes, sandboxing, tailscale.
npx skillsauth add enuno/claude-command-and-control tool-openclawInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Goal: answer OpenClaw install/config/ops questions using the bundled docs snapshot under references/docs/.
Default assumption: the snapshot is the source of truth. Do not guess command flags or config keys.
Reads (primary):
references/docs/** (offline mirror of https://docs.openclaw.ai/*.md)references/entrypoints.md (curated map)references/troubleshooting.md (routing/playbook)Writes:
references/docs/** + references/docs/__SNAPSHOT_INDEX.md + references/docs/llms.txtUse grep-style search first; do not read the entire snapshot.
Examples (regex search over Markdown):
Search by error text:
references/docs*.mdSearch by config key:
canvasHostallowFromrequireMentionsession.mainKeySearch by command:
openclaw onboardopenclaw gatewayopenclaw channels loginopenclaw doctorclawdbot ... may exist as a compatibility shim (see the docs).If you need a page map, start with:
references/docs/__SNAPSHOT_INDEX.mdIf the snapshot looks stale or missing pages, refresh it (see references/docs_snapshot.md).
references/docs/start/getting-started.mdreferences/docs/start/wizard.mdreferences/docs/gateway/configuration.mdreferences/docs/gateway/troubleshooting.mdreferences/docs/help/troubleshooting.mdAnswer using this structure:
Diagnosis: <1 sentence>
Docs consulted:
- <path 1>
- <path 2>
Steps:
1) <actionable step>
2) <actionable step>
Verify:
- <how to confirm it worked>
If still failing:
- <what exact command output / log / config snippet to ask for>
The bundled docs snapshot lives under references/docs/ and is indexed by:
references/docs/__SNAPSHOT_INDEX.md (human/agent routing)references/docs/__SNAPSHOT_INDEX.json (machine index)To update/rebuild the snapshot index:
cd tool-openclaw
# If you are working inside this repo instead of an installed skill:
# cd skills/tool-openclaw
./scripts/update.sh --mode index
Most common modes:
--mode seed: fetch placeholders/missing pages only (fast, safe default)--mode full: refresh everything (slow)--mode sync: sync /llms.txt frontier → create missing placeholders + rebuild index (no page fetch)--mode index: only rebuild __SNAPSHOT_INDEX.(md|json)--mode single --url <url>: fetch one page and map it into references/docs/**Optional localization (best-effort, falls back to English by default):
./scripts/update.sh --mode seed --locale zh-CN
Requires Node.js >= 18.
Search community-built OpenClaw/Clawdbot skills from awesome-clawdbot-skills:
cd tool-openclaw
# If you are working inside this repo instead of an installed skill:
# cd skills/tool-openclaw
./scripts/search-skills.sh discord # Search by keyword
./scripts/search-skills.sh pdf document # Multiple keywords
./scripts/search-skills.sh --list # List categories
./scripts/search-skills.sh --refresh # Force refresh cache
Install found skills: npx clawdhub@latest install <skill-slug>
references/entrypoints.mdreferences/troubleshooting.mdreferences/docs_snapshot.mdtools
MemPalace local-first AI memory system. Use when setting up persistent memory for Claude Code sessions, mining project files or conversation transcripts, querying past context, configuring MCP tools, managing the knowledge graph, or troubleshooting palace operations.
tools
LangSmith Python SDK — trace, evaluate, and monitor LLM applications. Covers @traceable decorator, trace context manager, Client API, evaluate() / aevaluate(), comparative evaluation, custom evaluators, dataset management, prompt caching, ASGI middleware, and pytest plugin.
development
LangGraph (Python) — build stateful, controllable agent graphs with checkpointing, streaming, persistence, interrupts, fault tolerance, and durable execution. Covers both Graph API (StateGraph) and Functional API (@entrypoint/@task).
development
LangGraph Graph API (Python) — build explicit DAG agent workflows with StateGraph, typed state, nodes, edges, Command routing, Send fan-out, checkpointers, interrupts, and streaming. Use when you need explicit control flow and graph topology.