community-research-insight

Research

Extract structured insight briefs from community research transcripts or notes. Produces pain points, stakeholder needs, opportunity maps, risks, and follow-up questions. Requires human review before publication.

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Source SKILL.md: https://github.com/clawdotnet/openclaw.net/blob/HEAD/src/OpenClaw.Gateway/skills/community-research-insight/SKILL.md

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Community Research Insight Extractor

Extracts pain points, stakeholder needs, risks, and practical technology opportunities from community-engaged research discussions. Produces a structured insight brief for human review before publication.

What It Does

Step	Kind	Purpose
`collect`	`user_input`	Collect transcript, context, and audience via chat
`analyze`	`llm_chat`	Extract grounded themes as structured JSON
`analyze_fallback`	`llm_chat`	Produce best-effort grounded JSON if primary analysis fails
`draft`	`llm_chat`	Draft the full 6-section insight brief as structured JSON
`validate`	`llm_chat`	Gate preview on PASS vs REVISE grounding validation
`validation_revise`	`llm_chat`	Explain why the brief is blocked when validation fails
`preview`	`llm_chat`	Render validated findings as human-readable Markdown
`review`	`user_input`	Pause for human approve/revise/reject decision
`final_response`	`llm_chat`	Produce final output based on review decision

Guardrails

Never invent quotes, names, dates, or statistics.
Never attribute views to named people unless present in the source.
Never recommend replacing community engagement with automation.
Always separate evidence from inference.
Always flag missing information rather than filling gaps.
Always require human review before publication or named attribution.

Fallback

If analyze fails (timeout, provider error, or JSON contract failure), analyze_fallback runs a single-turn llm_chat on the same transcript and must satisfy the same JSON output contract. If validate returns REVISE, the preview path is blocked and validation_revise explains what must be fixed before human review.

Output Contract

The analyze, analyze_fallback, and draft steps enforce OutputContract JSON validation. The draft step requires executive_summary, key_pain_points, stakeholder_needs, opportunity_map, risks_and_cautions, and follow_up_questions.

Safety

Outputs are decision-support drafts for human review. They are not final professional advice in research, policy, or community engagement contexts. Named attribution and external publication require explicit reviewer approval.