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Guide Recap

CommunityPopular
FlorianBruniaux
guide-recap

Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate release notes, announcements, social media posts, or recap summaries from guide updates.

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill nameguide-recap
Stars
6K
Forks
782
Bundled files
9
LicenseCC-BY-SA-4.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 9 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by FlorianBruniaux on GitHub. Read the source before you install it.

Installation

Install the Guide Recap AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/guide-recap .claude/skills/guide-recap
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Guide Recap in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Guide Recap on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Guide Recap is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

FlagEffectDefault
--interactiveGuide mode: choose angle, audience, highlightOff (auto-draft)
--format=XSingle format: linkedin, twitter, newsletter, slackAll 4 formats
--lang=XSingle language: fr, enBoth FR + EN
--saveSave output to [project-docs]/social-posts/Display only
--forceGenerate even if only maintenance entriesSkip low-score

Workflow (7 Steps)

Step 1: Parse Input

Parse $ARGUMENTS to determine mode:

InputModeTarget
latestSingle versionFirst ## [X.Y.Z] after [Unreleased]
vX.Y.Z or X.Y.ZSingle versionExact version match
weekWeek rangeMonday of current week -> today
week YYYY-MM-DDWeek rangeThat 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:

CategoryWeightDetection
NEW_CONTENT3New files, new sections, new diagrams, new quiz questions
GROWTH_METRIC2Line count growth, item count changes
RESEARCH1Resource evaluations, external source integrations
FIX1Under ### Fixed, corrections
MAINTENANCE0README 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:

FormatLink Target
LinkedInLanding site URL
TwitterGitHub repo URL
NewsletterBoth (landing + GitHub)
SlackGitHub 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

ErrorResponse
No argumentDisplay usage block
Invalid argumentDisplay usage block with examples
Version not foundList 5 most recent versions, suggest latest
Week has no entriesShow 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)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Guide Recap AI skill do?

Transform CHANGELOG entries into social content (LinkedIn, Twitter/X, Newsletter, Slack) in FR + EN. Use after releases or weekly to generate release notes, announcements, social media posts, or recap summaries from guide updates.

Why use Guide Recap on TypingMind?

Because you install it once and use it with any model. Guide Recap is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Guide Recap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/guide-recap. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Guide Recap?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Guide Recap?

As many as you like. As long as a model supports skills, you can use Guide Recap with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Guide Recap AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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