Agent skill
mcaf-feature-spec
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.
Install this agent skill to your Project
npx add-skill https://github.com/managedcode/MCAF/tree/main/skills/mcaf-feature-spec
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
- Read the nearest
AGENTS.mdand confirm scope and constraints. - Run this skill's
Workflowthrough theRalph Loopuntil outcomes are acceptable. - Return the
Required Result Formatwith concrete artifacts and verification evidence.
Workflow
- Define scope first: in scope, out of scope, boundaries touched.
- If the feature doc is missing, scaffold from
references/feature-template.md. - Keep the spec executable:
- numbered rules
- main flow
- edge and failure flows
- system behaviour
- verification steps
- Definition of Done
- Make the spec concrete enough that tests can be written without guessing.
- 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.
- 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
- 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
- Execute one planned step and produce a concrete delta.
- Review the result and capture findings with actionable next fixes.
- Apply fixes in small batches and rerun the relevant checks or review steps.
- Update the plan after each iteration.
- Repeat until outcomes are acceptable or only explicit exceptions remain.
- If a dependency is missing, bootstrap it or return
status: not_applicablewith explicit reason and fallback path.
Required Result Format
status:complete|clean|improved|configured|not_applicable|blockedplan: concise plan and current iteration stepactions_taken: concrete changes madevalidation_skills: final skills run, or skipped with reasonsverification: commands, checks, or review evidence summaryremaining: top unresolved items ornone
For setup-only requests with no execution, return status: configured and exact next commands.
Load References
- use
references/feature-template.mdonly 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."
Recommended Agent Skills
Expand your agent's capabilities with these related and highly-rated skills.
mcaf-architecture-overview
Create or update `docs/Architecture.md` as the global architecture map for a solution. Use when bootstrapping a repo, onboarding, or changing modules, boundaries, or contracts. Keep it navigational and use `references/overview-template.md` for scaffolding.
mcaf-human-review-planning
Plan a human review for a large AI-generated code drop by reading the target area, tracing the natural user and system flows, identifying the riskiest boundaries, and prioritizing the files a human should inspect first. Use when the codebase is too large to review line-by-line and you need a practical review sequence plus a prioritized file list.
mcaf-documentation
Create or refine durable engineering documentation: docs structure, navigation, source-of-truth placement, and writing quality. Use when a repo’s docs are missing, stale, duplicated, or hard to navigate, or when adding new durable engineering guidance.
mcaf-observability
Design or improve observability for application and delivery flows: logs, metrics, traces, correlation, alerts, and operational diagnostics. Use when a change affects runtime visibility, failure diagnosis, SLOs, or alerting.
mcaf-agile-delivery
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mcaf-solid-maintainability
Apply SOLID, SRP, cohesion, composition-over-inheritance, and small-file discipline to code changes. Use when refactoring large files or classes, setting maintainability limits in `AGENTS.md`, documenting justified exceptions, or reviewing design quality.
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