agentleFS
fernandoartalffernandoartalf/AL-Copilot-Skills-Collection/skills/skill-contribution-assistant/SKILL.md

skill-contribution-assistant

Skill28 starsChanged 7 months agoMITView on GitHub

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.

1 other project uses a version of this, 1 of them edited.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

17 rules. About 0 are common, 15 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈15

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Avoid intrusive behavior while detecting candidate community skills.

    line 13
  2. Distinctive:

    Use one short prompt only.

    line 34
  3. Distinctive:

    If user says no, stop suggesting in the current conversation.

    line 35
  4. Distinctive:

    Never block the original task.

    line 36
  5. Distinctive:

    Use this exact style:

    line 40
  6. Distinctive:

    If user declines, continue normally.

    line 45
  7. Distinctive:

    If user accepts, run onboarding interview.

    line 46
  8. Distinctive:

    Should the skill guide only, or also execute tasks automatically?

    line 58
  9. Distinctive:

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

    line 63
  10. Distinctive:

    Create and maintain this structure:

    line 76
  11. Very specific:

    Keep frontmatter with only name and description.

    line 86
  12. Distinctive:

    Keep body compact and operational.

    line 87
  13. Distinctive:

    Use precise trigger guidance and clear workflow steps.

    line 89
  14. Distinctive:

    Keep operational messages and command outputs in English.

    line 96
  15. Very specific:

    Add the skill entry to the monthly release plan (releaseplan/YYYY/MM-month.md).

    line 101
  16. Distinctive:

    Ensure summary table includes the skill.

    line 103
  17. Distinctive:

    Ensure files are coherent and non-duplicative.

    line 108

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

  • skills/<skill-name>/SKILL.md
  • skills/<skill-name>/AUTHORS.md
  • skills/<skill-name>/CHANGELOG.md
  • skills/<skill-name>/references/ (optional, preferred for long content)
  • 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

  • references/onboarding-questionnaire.md
  • references/opportunity-detection.md
  • references/pr-readiness-checklist.md
  • references/quality-gate.md

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.