guide-recap
Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate ready-…
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技能内容
Guide Recap
Generate social media content from CHANGELOG.md entries. Produces 8 outputs by default (4 formats x 2 languages).
When to Use
- After running
/releaseto create social announcements - Weekly to summarize multiple releases
- Before posting on LinkedIn, Twitter/X, newsletter, or Slack
Usage
/guide-recap latest # Latest released version
/guide-recap v3.20.5 # Specific version
/guide-recap week # Current week (Monday to today)
/guide-recap week 2026-01-27 # Specific week (Monday to Sunday)
Flags
| Flag | Effect | Default |
|------|--------|---------|
| --interactive | Guide mode: choose angle, audience, highlight | Off (auto-draft) |
| --format=X | Single format: linkedin, twitter, newsletter, slack | All 4 formats |
| --lang=X | Single language: fr, en | Both FR + EN |
| --save | Save output to claudedocs/social-posts/ | Display only |
| --force | Generate even if only maintenance entries | Skip low-score |
Workflow (7 Steps)
Step 1: Parse Input
Parse $ARGUMENTS to determine mode:
| Input | Mode | Target |
|-------|------|--------|
| latest | Single version | First ## [X.Y.Z] after [Unreleased] |
| vX.Y.Z or X.Y.Z | Single version | Exact version match |
| week | Week range | Monday of current week -> today |
| week YYYY-MM-DD | Week range | That Monday -> following Sunday |
If no argument or invalid argument, display usage and exit.
Step 2: Extract CHANGELOG Entries
Read CHANGELOG.md from the project root.
Single version:
- Find line matching
## [{version}] - Extract all content until next
## [line - Parse
### Added,### Changed,### Fixedsections
Week range:
- Collect all
## [X.Y.Z] - YYYY-MM-DDentries where date falls in range - Parse all sections from all matching versions
Error: version not found -> List last 5 versions, suggest latest.
Error: week has no entries -> Show date of last release, suggest that version.
Step 3: Categorize Entries
For each top-level entry (first-level bullet under ###), assign a category:
| Category | Weight | Detection |
|----------|--------|-----------|
| NEW_CONTENT | 3 | New files, new sections, new diagrams, new quiz questions |
| GROWTH_METRIC | 2 | Line count growth, item count changes |
| RESEARCH | 1 | Resource evaluations, external source integrations |
| FIX | 1 | Under ### Fixed, corrections |
| MAINTENANCE | 0 | README updates, badge syncs, landing syncs, count updates |
See references/changelog-parsing-rules.md for detailed classification rules.
Step 4: Transform to User Value
Apply mappings from references/content-transformation.md:
- Technical language -> user benefit
- Extract concrete numbers
- Credit named sources
- Cluster related entries
Validate against references/tone-guidelines.md DO/DON'T checklist.
Step 4b: Interactive Mode (--interactive only)
If --interactive flag is set, insert between steps 4 and 5:
- Display candidate highlights with scores:
Highlights (by score):
[14] 4 new ASCII diagrams (16 -> 20) [NEW_CONTENT]
[ 9] 30 new quiz questions (227 -> 257) [NEW_CONTENT]
[ 6] Docker sandbox isolation guide [NEW_CONTENT]
[ 1] README updated [MAINTENANCE]
- Ask angle:
- Auto (highest scored = hook)
- User picks specific entry as hook
- Custom angle (user provides theme)
- Ask target audience:
devs(technical depth)tech-leads(impact focus)general(accessible language)all(default, balanced)
- Ask primary highlight:
- Auto (top score)
- User selects from list
- Confirm selection and proceed to step 5.
Step 5: Score and Select
Compute score for each entry:
score = (category_weight * 3)
+ (has_number * 2)
+ (named_source * 1)
+ (new_file * 1)
+ (min(impact_files, 3))
+ (breaking * 2)
Select top 3-4 entries by score. Highest score = hook line.
If all scores < 3: Output "No social content recommended for this version. Use --force to generate anyway." and exit (unless --force).
Step 6: Generate Content
For each requested format (default: all 4) and language (default: both):
- Read the corresponding template from
assets/ - Fill template fields using scored and transformed entries
- Apply tone-guidelines.md quality checklist
Links:
| Format | Link Target |
|--------|-------------|
| LinkedIn | Landing site URL |
| Twitter | GitHub repo URL |
| Newsletter | Both (landing + GitHub) |
| Slack | GitHub repo URL |
URLs:
- Landing:
https://florianbruniaux.github.io/Codex-ultimate-guide-landing/ - GitHub:
https://github.com/FlorianBruniaux/Codex-ultimate-guide
Step 7: Output
Display each generated post in a fenced code block, labeled by format and language:
## LinkedIn (FR)
[content]
`
LinkedIn (EN)
[content]
`` `
## Twitter/X (FR)
[content]
`
...
If `--save` flag: write all outputs to `claudedocs/social-posts/YYYY-MM-DD-vX.Y.Z.md` (for version) or `claudedocs/social-posts/YYYY-MM-DD-week.md` (for week). Create `claudedocs/social-posts/` directory if it doesn't exist.
## Error Handling
| Error | Response |
|-------|----------|
| No argument | Display usage block |
| Invalid argument | Display usage block with examples |
| Version not found | List 5 most recent versions, suggest `latest` |
| Week has no entries | Show date of last release, suggest version |
| All entries MAINTENANCE (score 0) | "No social content recommended. Use `--force` to override." |
| CHANGELOG.md not found | "CHANGELOG.md not found in project root." |
## Reference Files
- `references/tone-guidelines.md` - DO/DON'T rules, emoji budget, language register
- `references/changelog-parsing-rules.md` - CHANGELOG format, extraction, scoring algorithm
- `references/content-transformation.md` - Technical -> user value mappings (30+)
- `assets/linkedin-template.md` - ~1300 chars, hook + bullets + CTA + hashtags
- `assets/twitter-template.md` - 280 chars single or 2-3 tweet thread
- `assets/newsletter-template.md` - ~500 words, structured sections
- `assets/slack-template.md` - Compact, emoji-rich, Slack formatting
- `examples/version-output.md` - Full example output for v3.20.5
- `examples/week-output.md` - Full example output for week 2026-01-27
## Tips
- Run `/guide-recap latest` right after `/release` to prepare social posts
- Use `--interactive` the first few times to understand the scoring
- Use `--format=linkedin --lang=fr` when you only need one specific output
- `--save` outputs are gitignored via `claudedocs/` convention
- Review and personalize before posting (these are drafts, not final copy)
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它属于哪个仓库
.agents/skills/guide-recap/SKILL.md同一个仓库里的其他技能
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