lyndonkl/skills/write-section-promise
skills/write-section-promise/SKILL.md
--- name: write-section-promise description: Crafts the one-sentence promise a substacker section makes to its reader — specific, testable, non-overlapping with other sections, written in the writer's voice (not marketing). Use when propose-section stages a new section or when an existing promise is being revised. Trigger keywords: section promise, one-sentence promise, section statement, reader promise. --- # Write Section Promise ## Four tests A promise passes if ALL of: 1. **Specific** —
$ install --global
skillsauthnpx skillsauth add lyndonkl/claude skills/write-section-promiseInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- write-section-promise
- description:
- Crafts the one-sentence promise a substacker section makes to its reader — specific, testable, non-overlapping with other sections, written in the writer's voice (not marketing). Use when propose-section stages a new section or when an existing promise is being revised. Trigger keywords: section promise, one-sentence promise, section statement, reader promise.
Write Section Promise
Four tests
A promise passes if ALL of:
- Specific — reader can predict what a post in this section will do for them.
- Testable — point at a candidate post and say yes/no.
- Non-overlapping — distinguishable from every other section's promise by at least one axis.
- Voiced — reads as the writer's voice per
audience-notes.md+voice-profile.md, not marketing copy.
Workflow
For a candidate section:
- [ ] Step 1: Draft 3 candidate promises
- [ ] Step 2: Score each on the 4 tests
- [ ] Step 3: Pick highest-scoring
- [ ] Step 4: If none pass all 4, flag and return best-with-caveat
Worked example
Section: Intuition-first ML (candidate).
- Draft A: "Essays about machine learning." — FAILS specific, FAILS non-overlap (too broad).
- Draft B: "We break down ML concepts." — FAILS voiced (marketing tone), FAILS testable.
- Draft C: "Essays that build geometric or mechanical intuition for how ML systems actually work, before the math." — PASSES all 4. Winner.
Guardrails
- ≤25 words. Longer promises become paragraphs and no one reads.
- No buzzwords. No "we dive deep into X" or "unlock insights."
- One sentence, not two.
- Second person or declarative — never "I argue…"
- Must fit the writer's voice per
audience-notes.md+voice-profile.md.
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