mcaf-agile-delivery

MCAF: Agile Delivery

Trigger On

• the team needs backlog, ceremony, role, or feedback-loop rules
• delivery process is vague, too heavy, or living only in chat
• recurring team pain needs to become durable repo guidance

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

• repo governance that belongs in AGENTS.md
• feature planning for one specific feature doc

Inputs

• the current delivery pain point
• backlog, role, ceremony, and feedback mechanisms that already exist
• where the team stores durable agreements, if anywhere

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. Keep delivery artefacts concrete:
   • backlog
   • roles
   • ceremonies
   • engineering feedback
2. Prefer lightweight agreements over process theatre.
3. When a pain point repeats, turn it into a rule, doc, or skill update.
4. Pull only the references that match the current process problem.

Deliver

• concrete delivery guidance
• durable team agreements
• feedback loops that update docs, skills, and rules

Validate

• the process guidance fixes a real delivery problem
• roles and rituals are explicit enough to use
• recurring pain is converted into a durable artifact, not more chat

Ralph Loop

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

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