drafting
Use when a mindpowers spec exists and the user wants the actual deliverable written, such as "draft it", "write the memo from the spec", or right after…
Use after a knowledge-work deliverable ships or gets human edits. Triggers on "that draft worked", "they rewrote half of it", "remember this for next time", or when the user returns with feedback on a shipped doc. Not for code retrospectives.
$ npx -y skills add rohitgehe05/mindpowers --skill calibrating --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/calibratingContext preview
The summary Claude sees to decide when to auto-load this skill.
Use after a knowledge-work deliverable ships or gets human edits. Triggers on "that draft worked", "they rewrote half of it", "remember this for next time", or when the user returns with feedback on a shipped doc. Not for code retrospectives.
name: calibrating description: Use after a knowledge-work deliverable ships or gets human edits. Triggers on "that draft worked", "they rewrote half of it", "remember this for next time", or when the user returns with feedback on a shipped doc. Not for code retrospectives.
mindpowers does one loop: shape, draft, review, fact-check, and remember what you like. This skill is the "remember" step, and the only one that writes `docs/mindpowers/preferences.md`. `mindstorming` step 1 reads that file before it starts a new session, so what gets recorded here shapes every future spec of that template type.
This is a light skill. Don't turn it into an interrogation: most of the time there are 1-3 short questions and one write.
Think precisely; respond plainly. Use common words and short sentences. Explain an unavoidable technical term the first time it appears, and give one short example when a rule could be misunderstood. For a material conclusion about a preference or proposed write, give a compact explanation: the recommendation or conclusion, what you checked, the main reasons, uncertainty, and the next step. Do not dump internal machinery. If the user says the explanation is unclear, explain it again from scratch.
1. **Identify what this is about.** Figure out which spec/draft the feedback concerns. Scan `docs/mindpowers/specs/` and `docs/mindpowers/drafts/` for a matching topic or recent file; if it's genuinely ambiguous, ask which one. Note its template `type`: preferences are filed under that type. 2. **Compare supplied versions first.** When the user supplies or points to both the Mindpowers draft and the final human-edited artifact, compare them before asking questions. Identify meaningful changes and infer their likely intent from context. Ask only about meaningful changes whose intent cannot be inferred. 3. **Ask at most 3 questions**, skipping any already answered by what the user said or by the comparison:
4. **Distill into 1-3 one-line preference entries.** Record only stable preferences, not a general evaluation of the product, field, or artifact. Keep entries short, concrete, reusable, and distinct from a summary of the conversation. 5. **Show the entries and get approval before writing.** Let the user edit the wording. 6. **Append to `docs/mindpowers/preferences.md`** under the matching template's section.
Markdown, sectioned by template type, each section a flat bullet list of dated one-liners:
<!-- Read by mindstorming step 1. Written only by calibrating. --> ## business-review - 2026-07-07: audience is CPO not VP, default audience field accordingly - 2026-03-12: prefers UK spelling ## decision-doc ... ## general - 2026-01-20: keep recommendations to one sentence, always up front
Sections match the 9 template types (`business-review`, `decision-doc`, `one-pager`, `prd`, `briefing-doc`, `comms-draft`, `framework`, `talking-points`, `post-mortem`) plus `general` for anything cross-cutting. If the file doesn't exist, create it with the header comment above and only the section(s) you're writing to, no need to pre-populate all 10.
Paths above are relative to the working folder; in Cowork that's the user's shared folder. If no writable folder exists, show the proposed entries in chat and say plainly they weren't saved, since there's nowhere for the next session to read them from either.
Your AI should ask better questions before it writes. Most AI writing tools turn ambiguity into polished prose.
Repo: rohitgehe05/mindpowers
Use when a mindpowers spec exists and the user wants the actual deliverable written, such as "draft it", "write the memo from the spec", or right after…
Use before a finished document ships, when the user asks "fact-check this", "is this ready to send", "check the numbers", or after drafting/review hand off a…
Use before drafting any non-code knowledge-work deliverable, including strategic memos, business reviews, OKR defences, PRDs, decision docs, briefing docs,…
Use when the user has a finished or near-finished document (memo, business review, PRD, decision doc, briefing, comms, framework, talking points, post-mortem)…
Use when a user wants to test, sharpen, frame, or gather evidence for a customer or business problem before pitching a direction, prioritising work, or writing…