Coordinate two-checkpoint feature implementation from approved spec and plan artifacts.
npx skills add https://github.com/gaabscps/ai-squad --skill implementer-gaabscps
Please help me install this Agent Skill. Skill: implementer Source: https://github.com/gaabscps/ai-squad/tree/main/squads/sdd/skills/implementer Command: npx skills add https://github.com/gaabscps/ai-squad --skill implementer-gaabscps
Automates end-to-end feature implementation within a single session, preventing drift from approved specs and eliminating fragmented handoffs.
Invoke /implementer FEAT-NNN in your session to begin implementing an approved feature, and use /implementer FEAT-NNN --resume to continue from a checkpoint.
High-intent search queries and answers about installing and using this skill.
You can resume an interrupted feature implementation session by invoking the command with the --resume flag, which restores your progress from the last checkpoint using the tracked state stored in session.yml.
Human-in-the-loop quality control is enforced through two fixed checkpoints requiring explicit decisions and evidence, balancing automated tooling with human reviews to guard against scope creep before sealing the implementation.
Approved write scope and decisions are tracked in session.yml, which logs explicit evidence and approved changes to maintain strict scope control and guard against unauthorized modifications throughout the workflow.
An approved spec and plan are required before starting, as the workflow targets sessions with existing artifacts like spec.md and plan.md to keep implementation focused, context-consistent, and strictly controlled.
You can resume an interrupted feature implementation session by invoking the command with the --resume flag, which restores your progress from the last checkpoint using the tracked state stored in session.yml.
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