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Adhd Pr Description

Community
ahmadrosid
adhd-pr-description

Write or rewrite GitHub PR descriptions in a scannable ADHD-friendly format: outcome-first lead, two-line before/after, short why-safe list, residual one-liner, tight test plan. Default for all Nakama PR bodies (agents and humans). Use when writing, improving, or rewriting a PR description, opening a PR via ce-commit-push-pr, or when the user mentions ADHD PR / adhd-pr-description. Prefer this shape over long narrative PR prose.

Overview

Publisherahmadrosid
Repositorynakama
Skill nameadhd-pr-description
Stars
492
Forks
91
Bundled files
Instructions only
LicenseMIT
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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Adhd Pr Description 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.
    https://github.com/ahmadrosid/nakama/tree/main/.agents/skills/adhd-pr-description
  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/ahmadrosid/nakama.git /tmp/nakama
mkdir -p .claude/skills
cp -r /tmp/nakama/.agents/skills/adhd-pr-description .claude/skills/adhd-pr-description
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Adhd Pr Description 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 Adhd Pr Description 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 Adhd Pr Description 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.

ADHD PR description

Default PR body format for this repo. Reviewers should finish the description in one glance. The diff is already on GitHub — do not restate file moves.

Agents: load this skill whenever composing or rewriting a Nakama PR description (including via ce-commit-push-pr). Body shape comes from here; still gather real claims from the diff (outcome, risk, what you verified).

Shape (required)

markdown
## Summary

<one line: who does what → result. No jargon fog unless the change is jargon.>

**Before:** <one line — old behavior or cost>
**After:** <one line — new behavior; name the key function/path if it helps risk>

Why safe:
1. <reason>
2. <reason>
3. <reason>   <!-- 2–3 items max; drop #3 if nothing to say -->

Only re-add / follow up if <one residual risk or rollback trigger>.

## Test plan
- [x] <command already run> (<N> pass)
- [ ] <one manual check a human can do in <2 min>

Optional after test plan (keep if the workflow expects Compound Engineering badges):

markdown
---

[![Compound Engineering](https://img.shields.io/badge/Built_with-Compound_Engineering-6366f1)](https://github.com/EveryInc/compound-engineering-plugin)
![HARNESS](https://img.shields.io/badge/<MODEL_SLUG>-000000)

Rules

  1. Lead = outcome. First Summary line is the new world, not "This PR removes…".
  2. Before/After = two lines. Bold labels. No paragraph wrapping them.
  3. Why safe = numbered, ≤3. Cap at 5 total bullets anywhere in the body; if more, keep only the decision-changing ones.
  4. One residual. Name the case that would make you undo this. Skip if truly none.
  5. No diff tourism. Do not list files, line counts as the story, or "also cleaned up exports" unless that is the risk.
  6. Test plan = runnable. Prefer checked commands with pass counts; one unchecked manual probe.
  7. Title stays conventional. type(scope): imperative — short. Body carries this shape; title does not need emoji or essays.
  8. Apply with gh. Write body to a temp file; gh pr edit <n> --body-file … or gh pr create --body-file …. Never --body "$(cat …)".

Golden example

Match this density:

markdown
## Summary

Approve an org-memory proposal → bullet goes into `MEMORY.md`. No LLM call.

**Before:** deterministic merge, then optional model rewrite of the whole file.
**After:** deterministic merge only (`applyApprovedOrgMemoryBullet`).

Why safe:
1. Dedup + supersede already live in that function
2. LLM path already failed closed to the deterministic result
3. −230 lines, same approve outcome

Only re-add an LLM rewrite if contradictory bullets start surviving approve.

## Test plan
- [x] `bun test packages/agent/src` (80 pass)
- [x] `bun test apps/server/src/services/org-memory-service.test.ts` (15 pass)
- [ ] Approve one pending proposal (pinned + recent-log) — bullet lands as before

Anti-patterns

Don'tDo
Multi-paragraph SummaryOne outcome line + Before/After + Why safe
"This PR aims to…" / "In order to…"Start with the verb or user action
Nested ### under SummaryFlat ## Summary + ## Test plan only
Restating every deleted fileResidual risk only
Vague "tests passed"Exact command + pass count

Workflow

  1. Read the PR diff / commits (gh pr view, git diff base...HEAD)
  2. Name: outcome, before, after, ≤3 why-safe, one residual
  3. Fill the template — cut any sentence the diff already proves
  4. Apply via --body-file
  5. Reply with the PR URL (plus "say if you want the title tightened" only if useful)

Frequently asked questions

What does the Adhd Pr Description AI skill do?

Write or rewrite GitHub PR descriptions in a scannable ADHD-friendly format: outcome-first lead, two-line before/after, short why-safe list, residual one-liner, tight test plan. Default for all Nakama PR bodies (agents and humans). Use when writing, improving, or rewriting a PR description, opening a PR via ce-commit-push-pr, or when the user mentions ADHD PR / adhd-pr-description. Prefer this shape over long narrative PR prose.

Why use Adhd Pr Description on TypingMind?

Because you install it once and use it with any model. Adhd Pr Description 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 Adhd Pr Description in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ahmadrosid/nakama/tree/main/.agents/skills/adhd-pr-description. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Adhd Pr Description?

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 Adhd Pr Description?

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

Is the Adhd Pr Description AI skill free?

Yes. It is published on GitHub by ahmadrosid under the MIT 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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