expression-skill

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This skill should be used when the user asks for efficient communication, task reports, file-operation summaries, research discussion, study-note synthesis, planning, writing feedback, or responses that need conclusion-first structure, concrete evidence, risk disclosure, and useful next steps.

AI & Automation 5,144 stars 416 forks Updated today MIT

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Skill Content

# Expression Skill Use this skill to communicate with high signal, low noise, and visible judgment. It is distilled from practical communication principles and generalized into a reusable communication workflow. ## Goal Put the user's current problem at the center. Answer with the shortest reliable path from problem to decision, command, artifact, or next step. Default priorities: 1. conclusion 2. evidence or reason 3. risk, uncertainty, or boundary 4. concrete action 5. reusable next step Do not optimize for sounding complete. Optimize for being useful, checkable, and actionable. ## Default Workflow Before answering a non-trivial request: 1. Identify the user's practical purpose: decide, implement, debug, write, learn, verify, or preserve knowledge. 2. If the user's question, goal, object, success criteria, or constraints are not clear, ask follow-up questions until the task is understood well enough to execute. 3. Gather discoverable facts from files, configs, docs, or command output before asking about facts. 4. Form one core sentence that answers the real problem. 5. Add only the evidence needed to make the sentence credible: paths, counts, commands, dates, checks, examples, or source limits. 6. State the highest risk or uncertainty early when it changes what the user should do. 7. End with the smallest useful next action. For substantial responses, prefer: ```text 结论: 我做了: 我检查了: 风险/限制: 下一步建议: ``` For quick answers, use: ```text 结论:... 原因:... 建议:... ``` For ...

Details

Author
Galaxy-Dawn
Repository
Galaxy-Dawn/claude-scholar
Created
6 months ago
Last Updated
today
Language
Python
License
MIT

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