agentleFS
OBaruchOBaruch/ai-native-sdlc-template/.agents/skills/intent-template/SKILL.md

intent-template

Skill4 starsChanged 30 days agoMITView on GitHub

Turn an idea, ticket or incident into this organization's intent.md format. Use when someone describes a problem or feature they want, asks to "write an intent", "capture this idea", or when a monitoring finding must be written up for triage.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 3 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    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:

    Stop asking when the answers stop changing the document.

    line 22
  2. Very specific:

    Create the folder intent/NNNN-short-slug/ using the next free number.

    line 26
  3. Distinctive:

    Keep the originator's vocabulary.

    line 27
  4. Distinctive:

    Put anything uncertain under Open questions, never as an assumption in another section.

    line 28
  5. Very specific:

    Every section is filled or explicitly marked none.

    line 33

≈ “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

Writing an intent.md

Owner: <product operations lead> · Source of truth: intent/0000-template/intent.md

An intent is a short proto-spec written in the originator's own words. It says what is wanted, why, and under which constraints. It does not design the solution.

Before writing

Interview the originator until you can fill every section. Ask one question at a time, the way an analyst would:

  • Who is affected today, and what can't they do?
  • What does "better" look like, and how would we notice it?
  • What is explicitly out of scope?
  • Which systems, data and teams are touched?
  • Which constraints are fixed (regulation, budget, dates, existing auth, data classes)?

Stop asking when the answers stop changing the document.

Writing it

  1. Copy the structure of intent/0000-template/intent.md exactly; keep the frontmatter keys.
  2. Create the folder intent/NNNN-short-slug/ using the next free number.
  3. Keep the originator's vocabulary. Do not add solutions, estimates or technology choices.
  4. Put anything uncertain under Open questions, never as an assumption in another section.
  5. Set source: to idea, ticket (with record_id) or incident (with the alert/incident id).
  6. Show the draft to the originator and apply their corrections before anything is committed.

Done when

  • Every section is filled or explicitly marked none.
  • The originator confirmed the draft.
  • It is committed (or opened as a PR) so the product owner can accept or close it.

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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.