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Skill Contribution Assistant

Community
javiarmesto
skill-contribution-assistant

Guides contributors to design, polish, and submit high-quality skills for AL Copilot Skill Collection. Use when creating a new community skill, improving a draft skill, or evaluating whether a user request can become a reusable skill. Includes non-intrusive opportunity detection and mandatory onboarding questions once the author confirms they want to build the skill.

Overview

Publisherjaviarmesto
RepositoryALDC-AL-Development-Collection
Skill nameskill-contribution-assistant
Stars
115
Forks
37
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Skill Contribution Assistant 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/javiarmesto/ALDC-AL-Development-Collection/tree/main/.claude/skills/skill-contribution-assistant
  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/javiarmesto/ALDC-AL-Development-Collection.git /tmp/ALDC-AL-Development-Collection
mkdir -p .claude/skills
cp -r /tmp/ALDC-AL-Development-Collection/.claude/skills/skill-contribution-assistant .claude/skills/skill-contribution-assistant
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Contribution Assistant 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 Skill Contribution Assistant 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 Skill Contribution Assistant 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.

Business Central Skill Authoring Playbook

This skill helps contributors move from idea to PR-ready skill with consistent quality standards.

Core Outcomes

  1. Define a focused and reusable skill scope.
  2. Avoid intrusive behavior while detecting candidate community skills.
  3. Apply repository conventions for structure, language, and maintainability.
  4. Produce a PR-ready package: skill files + release plan entry.

Non-Intrusive Opportunity Detection

This skill can detect when a user request may become a reusable community skill, but must be subtle and optional.

Detection Rules

Trigger detection only when at least 3 conditions are true:

  1. Problem appears repeatable across projects or teams.
  2. Solution requires multi-step workflow, not a single code snippet.
  3. Stable inputs/outputs can be documented.
  4. The request can be generalized without customer-specific data.
  5. The expected value is broader than one ticket.

Intrusion Guardrails

  1. Suggest at most once per topic.
  2. Use one short prompt only.
  3. If user says no, stop suggesting in the current conversation.
  4. Never block the original task.

Suggestion Pattern

Use this exact style:

Potential community skill candidate detected: this workflow looks repeatable and reusable. Would you like to convert it into a skill proposal now?

If user declines, continue normally. If user accepts, run onboarding interview.

Mandatory Onboarding (After User Says Yes)

Once the user confirms they want to build the skill, ask these questions before drafting content.

  1. What exact problem does the skill solve?
  2. Who is the primary user of this skill?
  3. What should trigger the skill? (phrases, contexts, intents)
  4. Which tasks are in scope?
  5. Which tasks are out of scope?
  6. Is terminal execution required? If yes, which commands/tools?
  7. Should the skill guide only, or also execute tasks automatically?
  8. Which artifacts are expected? (files, scripts, checklists, templates)
  9. Are there privacy/security constraints? (IPs, customers, credentials, internal paths)
  10. What is the Definition of Done for this skill?

If answers are incomplete, ask focused follow-up questions until scope is clear.

Build Workflow

Step 1: Frame the Skill

  1. Produce a concise scope statement.
  2. Propose a skill name using repository conventions.
  3. Draft a 1-2 sentence value proposition.
  4. Confirm acceptance with the author.

Step 2: Define File Structure

Create and maintain this structure:

  • ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/SKILL.md
  • ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/AUTHORS.md
  • ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/CHANGELOG.md
  • ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/references/ (optional, preferred for long content)
  • ${CLAUDE_PROJECT_DIR}/.claude/skills/<skill-name>/scripts/ (optional, only when deterministic automation helps)

Step 3: Author SKILL.md

  1. Keep frontmatter with only name and description.
  2. Keep body compact and operational.
  3. Move long examples to references/.
  4. Use precise trigger guidance and clear workflow steps.
  5. Include safety boundaries and failure handling.

Step 4: Quality and Generalization

  1. Replace customer-specific names with generic placeholders.
  2. Replace sensitive routes/hosts/IPs with neutral examples.
  3. Keep operational messages and command outputs in English.
  4. Remove repository-irrelevant storytelling.

Step 5: Governance Integration

  1. Add the skill entry to the monthly release plan (releaseplan/YYYY/MM-month.md).
  2. Set status correctly (Proposed, Approved, In Development, Merged).
  3. Ensure summary table includes the skill.

Step 6: PR Readiness

  1. Validate structure and naming.
  2. Ensure files are coherent and non-duplicative.
  3. Confirm changelog entry is present and current.
  4. Prepare short PR description with motivation and scope.

Anti-Patterns to Avoid

  1. Oversized SKILL.md that contains all details and examples.
  2. Hardcoded customer names, environment names, paths, or internal endpoints.
  3. Vague description that does not trigger reliably.
  4. Interactive behavior that repeatedly pushes users to create a skill.
  5. Missing release plan entry.

Definition of Done

A skill is considered ready when:

  1. Scope is validated through onboarding Q&A.
  2. Content is reusable and anonymized.
  3. Structure follows repository conventions.
  4. Release plan is updated.
  5. PR can be reviewed without major rework.

References

Load each reference only when its phase applies:

  • When scoping a new skill, read references/onboarding-questionnaire.md before validating scope.
  • If you suspect a reusable pattern exists, read references/opportunity-detection.md to confirm.
  • Before opening a PR, read references/pr-readiness-checklist.md.
  • When validating the final deliverable, read references/quality-gate.md.

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 Skill Contribution Assistant AI skill do?

Guides contributors to design, polish, and submit high-quality skills for AL Copilot Skill Collection. Use when creating a new community skill, improving a draft skill, or evaluating whether a user request can become a reusable skill. Includes non-intrusive opportunity detection and mandatory onboarding questions once the author confirms they want to build the skill.

Why use Skill Contribution Assistant on TypingMind?

Because you install it once and use it with any model. Skill Contribution Assistant 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 Skill Contribution Assistant in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/javiarmesto/ALDC-AL-Development-Collection/tree/main/.claude/skills/skill-contribution-assistant. 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 Skill Contribution Assistant?

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 Skill Contribution Assistant?

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

Is the Skill Contribution Assistant AI skill free?

Yes. It is published on GitHub by javiarmesto 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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