lyndonkl/skills/classify-post-to-section
skills/classify-post-to-section/SKILL.md
--- name: classify-post-to-section description: Assigns a substacker draft or published post to the best-fitting section (or to unassigned) based on content + section promises in section-map.md. Used by the Editor on every draft review (to load the right voice overlay) and by the Curator in batch mode. Trigger keywords: classify post, section assignment, which section, route post, per-draft section. --- # Classify Post To Section ## Workflow ``` Per post (draft or published): - [ ] Step 1: Re
$ install --global
skillsauthnpx skillsauth add lyndonkl/claude skills/classify-post-to-sectionInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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TrivyContainer and dependency vulnerability scanner
95%
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95%
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95%
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50%
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50%
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Last scanned: Apr 25, 2026, 10:09 AM130.1s1 file scanned
SKILL.md
- name:
- classify-post-to-section
- description:
- Assigns a substacker draft or published post to the best-fitting section (or to unassigned) based on content + section promises in section-map.md. Used by the Editor on every draft review (to load the right voice overlay) and by the Curator in batch mode. Trigger keywords: classify post, section assignment, which section, route post, per-draft section.
Classify Post To Section
Workflow
Per post (draft or published):
- [ ] Step 1: Read post body (not just title)
- [ ] Step 2: Read section-map.md for all current section promises
- [ ] Step 3: Score post fit against each section's promise (specific, testable, voice register)
- [ ] Step 4: If top score clearly above second → assign that section
- [ ] Step 5: If ambiguous between two sections → propose both; writer picks
- [ ] Step 6: If no section scores above threshold → assign `unassigned`
- [ ] Step 7: Return: {section_slug, confidence, rationale}
Scoring dimensions
For each section, compute fit on:
- Promise match: does this post deliver on the section's one-sentence promise?
- Voice register: does the post's register (confessional-operational / technical-mechanistic / epistolary) match the section's voice overlay?
- Topic tag overlap: does the post's internal
topicsfrontmatter intersect with the section's typical topic distribution?
Worked example
Draft: "KV Cache as a library card catalog" — full body on KV cache mechanics, diagram-heavy, cites Vaswani et al. and Dao et al.
Current sections:
kalshi-log: scoreboard-required, prediction markets / IPL. Promise match: low. Score: 1/5.agent-workshop: mechanism + architecture, code-fence-welcome. Promise match: high. Score: 5/5.
Output: {section_slug: agent-workshop, confidence: high, rationale: "mechanism post with explicit paper citations; matches Agent Workshop register and promise"}.
Guardrails
- Never assign without scoring at least 2 candidate sections.
- If writer has manually annotated
section: Xin frontmatter, respect it — this skill only proposes when frontmatter is missing orunassigned. - Ambiguous cases return both candidates; do not arbitrarily pick.
- "unassigned" is a valid output. Don't force fit.
- Read body, not just title.
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