From wf
Stage 3 of the wf workflow. Implement the feature according to the approved PRD and ADRs. Dispatches code-explorer / code-architect / code-reviewer in parallel for codebase understanding, implementation blueprint, and inner-loop self-review. Slash-only.
How this skill is triggered — by the user, by Claude, or both
Slash command
/wf:codeThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Implement the feature according to the approved PRD and ADRs from `/wf:plan`. This is stage 3 of 4 in the wf workflow.
Implement the feature according to the approved PRD and ADRs from /wf:plan. This is stage 3 of 4 in the wf workflow.
The high-level architecture decisions are already settled — this skill turns them into running code with the help of three specialized sub-agents.
Do NOT advance the STATE phase to `done` from this skill. Phase advancement happens in `/wf:review` only, and only when the reviewer reports zero issues at confidence ≥ 80. This skill leaves `phase: coding` in place at every exit.Before doing anything else:
.wf/STATE.md. If absent, refuse — tell the user to run /wf:brainstorm first.phase is not coding, refuse and suggest the matching /wf:* command..wf/plans/PRD-<feature_id>.md. Refuse if missing — STATE is corrupt..wf/adr/ referenced by the PRD.You MUST create a task for each item:
code-explorer sub-agents in parallel (see Sub-Agent Dispatch below)code-architect sub-agent to produce an actionable file-level blueprint refining the ADR-level decisions into concrete files, functions, and build sequencecode-reviewer sub-agents in parallel with different focuses (see below)phase: coding, tell the user to run /wf:review for the formal review passThe three sub-agents under wf/agents/ are only dispatched from this skill. They are tuned to the feature-development context — invoking them from /wf:plan or /wf:review would distort their role.
Each instance targets a different aspect of the codebase. Example prompts:
Each agent should return 5-10 key files for the main agent to read directly. After agents return, read those files before continuing.
Produces a complete implementation blueprint refining the PRD/ADR into concrete files, functions, and build sequence. This is one level of detail below the ADRs — ADRs say "use pattern X"; the architect says "create file src/foo/bar.ts with parseInput(s: string): Result."
Do not dispatch multiple architect instances with different focuses (that pattern belongs in /wf:plan). The plan stage already settled the trade-offs; the architect here just elaborates the chosen path.
After implementation, dispatch three reviewers with different focuses:
This is an inner loop — fix confidence ≥ 80 issues immediately before handoff. The formal external review is /wf:review, which the user runs explicitly.
.wf/STATE.md phase log: append a coding-pass entry with the current ISO 8601 timestamp. Leave phase: coding./wf:review.Do NOT advance phase to reviewing or done — /wf:review does that.
If the implementation includes frontend/UI work and the frontend-design skill is available (typically from Anthropic's document-skills plugin), invoke it via the Skill tool — its visual design output is more polished than rolling your own. The skill is soft-referenced: it is not declared as a dependency, and the implementation must not fail if it is missing.
If frontend-design is not available, follow this inline checklist (distilled from its prose):
/wf:plan./wf:review's job.Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub anthoooooooony/wf --plugin wf