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guide-recap

Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate ready-to-post content from guide updates.

personAuthor: jakexiaohubgithub

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 /release to 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 [project-docs]/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:

  1. Find line matching ## [{version}]
  2. Extract all content until next ## [ line
  3. Parse ### Added, ### Changed, ### Fixed sections

Week range:

  1. Collect all ## [X.Y.Z] - YYYY-MM-DD entries where date falls in range
  2. 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:

  1. 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]
    
  2. Ask angle:

    • Auto (highest scored = hook)
    • User picks specific entry as hook
    • Custom angle (user provides theme)
  3. Ask target audience:

    • devs (technical depth)
    • tech-leads (impact focus)
    • general (accessible language)
    • all (default, balanced)
  4. Ask primary highlight:

    • Auto (top score)
    • User selects from list
  5. 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):

  1. Read the corresponding template from assets/
  2. Fill template fields using scored and transformed entries
  3. 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://{DOMAIN}/
  • GitHub: https://github.com/{OWNER}/{REPO}

Step 7: Output

Display each generated post in a fenced code block, labeled by format and language:

## LinkedIn (FR)

```text
[content]
`` `

## LinkedIn (EN)

```text
[content]
`` `

## Twitter/X (FR)

```text
[content]
`` `

...

If --save flag: write all outputs to [project-docs]/social-posts/YYYY-MM-DD-vX.Y.Z.md (for version) or [project-docs]/social-posts/YYYY-MM-DD-week.md (for week). Create [project-docs]/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 [project-docs]/ convention
  • Review and personalize before posting (these are drafts, not final copy)