agentleFS
Postpartum-genushyacinthus29Postpartum-genushyacinthus29/dotnet-skills/skills/dotnet-mcaf-feature-spec/SKILL.md

dotnet-mcaf-feature-spec

Skill13 starsChanged 8 months agoMITView on GitHub

Apply MCAF feature-spec guidance to create or update a feature spec under `docs/Features/` with business rules, user flows, system behaviour, verification, and Definition of Done. Use when the user asks for a feature spec, executable requirements, acceptance criteria, behaviour documentation, or a pre-implementation plan for non-trivial behaviour changes.

The file

We split this skill into the rules it gives an agent

12 rules. About 0 are common, 8 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈8

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    add or change non-trivial behaviour

    line 13
  2. Distinctive:

    leave reusable project context so future tasks are faster and safer

    line 21
  3. Distinctive:

    Read the nearest AGENTS.md and confirm scope and constraints.

    line 36
  4. Very specific:

    Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.

    line 37
  5. Very specific:

    If the feature doc is missing, scaffold from references/feature-template.md.

    line 43
  6. Distinctive:

    Keep the spec executable:

    line 44
  7. Distinctive:

    If the feature creates a new dependency, boundary, or major policy shift, update an ADR too.

    line 52
  8. Distinctive:

    Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

    line 68
  9. Distinctive:

    write a detailed execution plan from the chosen direction

    line 76
  10. Distinctive:

    Update the plan after each iteration.

    line 81
  11. Very specific:

    If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

    line 83
  12. Very specific:

    use references/feature-template.md only for scaffolding

    line 98

≈ “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

MCAF: Feature Spec

Trigger On

  • add or change non-trivial behaviour
  • behaviour is under-specified and engineers are guessing
  • tests need a stable behavioural source of truth

Value

  • produce a concrete project delta: code, docs, config, tests, CI, or review artifact
  • reduce ambiguity through explicit planning, verification, and final validation skills
  • leave reusable project context so future tasks are faster and safer

Do Not Use For

  • architecture decisions that need alternatives and trade-offs
  • tiny typo or cosmetic-only changes with no behavioural impact

Inputs

  • docs/Architecture.md
  • the nearest AGENTS.md
  • current user flows, business rules, and acceptance expectations

Quick Start

  1. Read the nearest AGENTS.md and confirm scope and constraints.
  2. Run this skill's Workflow through the Ralph Loop until outcomes are acceptable.
  3. Return the Required Result Format with concrete artifacts and verification evidence.

Workflow

  1. Define scope first: in scope, out of scope, boundaries touched.
  2. If the feature doc is missing, scaffold from references/feature-template.md.
  3. Keep the spec executable:
    • numbered rules
    • main flow
    • edge and failure flows
    • system behaviour
    • verification steps
    • Definition of Done
  4. Make the spec concrete enough that tests can be written without guessing.
  5. If the feature creates a new dependency, boundary, or major policy shift, update an ADR too.

Deliver

  • docs/Features/feature-name.md
  • a feature spec that engineers and agents can implement directly

Validate

  • rules are testable, not aspirational
  • edge cases are captured where they matter
  • verification steps match the intended behaviour
  • the doc can drive implementation without hidden tribal knowledge

Ralph Loop

Use the Ralph Loop for every task, including docs, architecture, testing, and tooling work.

  1. Brainstorm first (mandatory):
    • analyze current state
    • define the problem, target outcome, constraints, and risks
    • generate options and think through trade-offs before committing
    • capture the recommended direction and open questions
  2. Plan second (mandatory):
    • write a detailed execution plan from the chosen direction
    • list final validation skills to run at the end, with order and reason
  3. Execute one planned step and produce a concrete delta.
  4. Review the result and capture findings with actionable next fixes.
  5. Apply fixes in small batches and rerun the relevant checks or review steps.
  6. Update the plan after each iteration.
  7. Repeat until outcomes are acceptable or only explicit exceptions remain.
  8. If a dependency is missing, bootstrap it or return status: not_applicable with explicit reason and fallback path.

Required Result Format

  • status: complete | clean | improved | configured | not_applicable | blocked
  • plan: concise plan and current iteration step
  • actions_taken: concrete changes made
  • validation_skills: final skills run, or skipped with reasons
  • verification: commands, checks, or review evidence summary
  • remaining: top unresolved items or none

For setup-only requests with no execution, return status: configured and exact next commands.

Load References

  • use references/feature-template.md only for scaffolding

Example Requests

  • "Write a feature spec for the new checkout retry flow."
  • "Document the behaviour before coding this API change."
  • "Turn this loose requirement into an executable feature doc."

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.