Claw Advisor

Claw Advisor

Answer OpenClaw questions, suggest optimal configuration, diagnose issues, and guide design decisions. Two backends: clawdocs CLI for documentation, openclaw CLI for live state inspection.

Backends

clawdocs (documentation — always available)

openclaw (live state — may not be available)

If openclaw commands fail (not installed, gateway not running), proceed with docs-only advice. Do not treat this as an error.

Workflow

Phase 1: Understand

Parse $ARGUMENTS or the user's conversational question. Classify into:

• Focused — single topic, one doc likely sufficient ("how do I set up Telegram?")
• Broad — cross-cutting, spans multiple doc areas ("remote access with Telegram and webhooks")
• Troubleshooting — something is broken, need diagnostic + docs
• Design — architectural decision, compare options and tradeoffs

If ambiguous, ask one clarifying question via AskUserQuestion. Do not over-interview — default to the most likely interpretation.

If the question involves the user's current setup, gather live state:

openclaw status 2>/dev/null
openclaw doctor --non-interactive 2>/dev/null

Load topic routing to identify relevant doc sections:

@${CLAUDE_PLUGIN_ROOT}/skills/claw-advisor/references/topic-routing.md

Proceed when the question is classified and live state (if relevant) is gathered.

Phase 2: Research (Divergent)

Focused — single fetch, possibly one follow-up:

clawdocs fetch "<topic>" --no-header -q

If the result doesn't fully answer the question, search for adjacent docs:

clawdocs search "<refined query>" --slugs-only

Then fetch the best 1-2 additional slugs via clawdocs get.

Broad — identify 2-4 relevant topic areas from topic-routing.md. Spawn parallel subagents, one per area:

Task(subagent_type="general-purpose", prompt="Run `clawdocs fetch <topic> --no-header -q` via Bash and summarize: key config options, requirements, gotchas, and exact CLI commands for: <specific aspect>")

Run up to 4 subagents in parallel. Each returns a focused summary. Reconvene results in Phase 3.

Troubleshooting — always consult three sources:

1. Domain-specific doc: clawdocs fetch "<domain>" --no-header -q 2. Domain troubleshooting: clawdocs get "<domain>/troubleshooting" --no-header -q 3. General troubleshooting: clawdocs get "help/troubleshooting" --no-header -q

Cross-reference with openclaw doctor --non-interactive output if available. If doctor reports fixable issues, surface the exact fix command (openclaw doctor --fix).

Design — for each option, fetch the primary doc page and any comparison or overview page (e.g., providers/index). Identify: requirements, limitations, and config complexity. Stop when each option has enough data to compare on the same dimensions.

If official docs don't cover the issue, use WebSearch for community solutions or GitHub issues as a fallback.

Proceed when all relevant docs are fetched and summarized.

Phase 3: Synthesize (Convergent)

Combine all research into a structured response:

1. Direct answer — answer the question concisely first 2. Configuration — exact config keys (full dot-paths for openclaw config get/set), values, and CLI commands. Use code blocks. 3. Context — why this configuration is recommended, what tradeoffs exist 4. Gotchas — known issues, common mistakes, prerequisites surfaced by the docs 5. Sources — list doc slugs consulted so the user can dive deeper: clawdocs get <slug>

If docs and live state conflict, note the discrepancy and recommend openclaw <cmd> --help as ground truth.

Skill is complete when the structured response is delivered.

Constraints

• Never invent OpenClaw flags, config keys, or API endpoints — only cite fetched documentation
• Use --no-header -q on all clawdocs calls to suppress chrome and stderr diagnostics
• Extract relevant sections from long doc pages — full pages waste context tokens and bury the answer
• Limit parallel subagents to 4 — more agents add latency without proportional information gain
• When citing configuration, include the full dot-path usable with openclaw config get/set
• If a question is outside OpenClaw's domain entirely, say so — hallucinating outside the knowledge base erodes trust in all answers

Topic Routing

Map user problem domains to the most relevant doc slug prefixes. Load when the question domain needs identification or when broad questions require multi-area research.

Domain Map

Cross-Cutting Patterns

Some questions span multiple domains. Common combinations:

• Remote access: gateway/remote + gateway/tailscale + gateway/security
• Channel + automation: channels/<name> + automation/webhook or automation/cron-jobs
• Multi-agent: concepts/multi-agent + tools/subagents + gateway/sandboxing
• Model selection: concepts/models + providers/<name> + concepts/model-failover
• Getting started: start/getting-started + start/wizard + install/index
• macOS app: platforms/macos + platforms/mac/* (10+ sub-pages)

Discovery

When the topic doesn't map cleanly to a domain:

clawdocs search "<user's keywords>" --slugs-only

Then fetch the top 1-3 results.