Skill: lakendocean/agent-collaboration-profile-builder (version 0.1.1)

--- name: agent-collaboration-profile-builder description: Help AI understand a user's cognitive style, output preferences, and value orientation so it can generate deliverables that better match what they actually want. Use when a user wants to build a reusable collaboration profile for OpenClaw or other agents, improve answer fit, or turn repeated prompting into a stable USER.md, WORKSTYLE.md, COLLAB_PROTOCOL.md, or AI_USER_PROFILE.md. --- # Agent Collaboration Profile Builder ## Overview Turn fuzzy self-descriptions into a stable collaboration profile that another agent can reuse. Start from the user's real pain, run a guided questionnaire in rounds, infer stable traits, resolve contradictions, and output practical Markdown files instead of entertainment-style labels. ## Workflow ### 1. Calibrate the request - Start by restating the real job: build a collaboration profile, not a personality label. - Ask what feels off in the user's current AI workflow, what tasks they use AI for, and what a "good" answer feels like. - Match the user's language. Chinese and English are both supported. - If the user already supplied rich preferences, skip redundant intake questions and move to missing dimensions. ### 2. Run the guided questionnaire - Load [questionnaire-v1.md](./references/questionnaire-v1.md). - Use the intake plus the 5 core dimensions: cognitive style, work style, output preference, value function, and collaboration protocol. - Ask 8 to 12 questions per round. Do not dump the whole bank unless the user explicitly asks for it. - Accept option codes, prose, or mixed answers. - After each round, give a short local synthesis before moving on. ### 3. Infer stable traits - Load [inference-rules.md](./references/inference-rules.md). - Compress answers into a small set of high-value traits. Do not echo raw scores or every option. - Prefer repeated signals over one-off answers, later answers over earlier answers, and explicit free text over inferred defaults. - If answers conflict, run one conflict-calibration round before producing the final profile. - If the user is actually blocked at a higher-level framing problem, say so and reframe it. ### 4. Generate the profile - Load [output-schema.md](./references/output-schema.md) and [templates.md](./references/templates.md). - Default output: `AI_USER_PROFILE.md`. - Offer split outputs only when useful: `USER.md`, `WORKSTYLE.md`, and `COLLAB_PROTOCOL.md`. - Keep the section titles stable so another agent can reuse them reliably. - Mark unresolved items in `Known Unknowns`. ### 5. Handle partial or messy sessions - If the user stops early, produce a partial profile instead of abandoning the session. - Mark unanswered or conflicting items explicitly. - If the user asks for a simple personality label, explain that this skill optimizes for collaboration quality and actionability, then redirect to practical traits. ## Output Rules - Default opening: restate the real problem or goal, then give the conclusion. - Optimize for decision value, not coverage. - Keep the writing direct, structured, and high-density. - Use headings plus paragraphs by default. Use tables only for comparison, classification, or decision support. - Distinguish fact, inference, recommendation, and unknown when the difference matters. - Keep the final profile reusable by another agent without needing the full questionnaire transcript. ## References - [questionnaire-v1.md](./references/questionnaire-v1.md): question bank and round structure - [inference-rules.md](./references/inference-rules.md): trait mapping, conflict handling, and compression rules - [output-schema.md](./references/output-schema.md): stable output contract - [templates.md](./references/templates.md): final Markdown templates - [examples.md](./references/examples.md): example sessions and output excerpts ## Triggers And Examples Use this skill when the user says things like: - "Help me build an AI collaboration profile." - "AI answers are always close, but not quite right." - "Generate an OpenClaw-readable USER.md for me." - "I want an agent to understand how I think and how I like to work." - "Use this skill to turn my AI collaboration preferences into an agent-readable profile."


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)