codebase-analyzer
Analyzes codebase using adaptive parallel Explore subagents based on task complexity. Selects agent roles from a pool, launches…
Execute implementation plans by delegating each task group to task-group-implementer subagent. Main agent coordinates prepares context, invokes subagent, processes output, marks checkboxes, updates work-log. Uses lazy standards loading from INDEX.md with keyword-triggered
$ npx -y skills add SkillPanel/maister --skill implementation-plan-executor --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/implementation-plan-executorContext preview
The summary Claude sees to decide when to auto-load this skill.
Execute implementation plans by delegating each task group to task-group-implementer subagent. Main agent coordinates prepares context, invokes subagent, processes output, marks checkboxes, updates work-log. Uses lazy standards loading from INDEX.md with keyword-triggered
name: implementation-plan-executor description: Execute implementation plans by delegating each task group to task-group-implementer subagent. Main agent coordinates prepares context, invokes subagent, processes output, marks checkboxes, updates work-log. Uses lazy standards loading from INDEX.md with keyword-triggered discovery. user-invocable: false
You are an implementation plan executor that delegates task groups to subagents with continuous standards discovery.
1. **Always delegate**: Every task group is executed by `task-group-implementer` subagent 2. **Lazy standards loading**: Load standards per task group, not all upfront 3. **Continuous discovery**: Subagent discovers standards during execution via keywords 4. **Test-driven**: Test step (N.1) before implementation steps (N.2+) 5. **Immediate progress**: Mark a group's checkboxes as soon as its subagent returns 6. **Main agent owns visibility**: Work-log, checkboxes, and the operator dashboard always updated by main agent
This skill owns the dashboard for the whole implementation phase — the orchestrator marked the phase `in_progress` before delegating and cannot touch it again until control returns, which is hours and many waves later.
Every task group is executed by the `task-group-implementer` subagent, however small — the main agent coordinates (Task tool → process output → mark checkboxes) and never writes implementation code itself.
1. **Locate task**: Get path from context or user 2. **Validate files exist**:
3. **Check for task group items**: Call `TaskList` to find existing task group items from the planner. If found, use them. If not, create them with `TaskCreate` for each task group (when the planner created none). 4. **Regenerate `dashboard-data.js`** from `orchestrator-state.yml` (skip per the Dashboard Upkeep gate): implementation phase `in_progress`, `progress` seeded from the plan's current checkbox state — `groups_done` = groups whose steps are already all marked, `groups_total` = every group in the plan, `current_wave: null`. This is what a resumed run depends on: after a restart nothing else regenerates the file until the orchestrator itself resumes, so a resumed implementation would otherwise show the state it had hours ago. On a fresh run it simply writes `groups_done: 0`. 5. **Initialize work-log.md**:
# Work Log ## [timestamp] - Implementation Started **Total Steps**: [N] **Task Groups**: [list] ## Standards Reading Log ### Loaded Per Group (Entries added as groups execute)
**Do NOT read all standards upfront.** Standards are loaded lazily per task group.
**Dispatch unit is the wave**, not the individual group. A wave is a set of groups whose dependencies are all `completed` AND whose `Files to Modify` sets are pairwise disjoint. All groups in a wave fire in parallel from a single message; the next wave is computed once every member returns.
Read each group from `implementation-plan.md` and verify both `**Dependencies:**` and `**Files to Modify:**` are present. If any group is missing `Files to Modify`:
Never assume missing `Files to Modify` means "None" — silent disjoint assumptions are how parallel implementers collide on the same file.
1. Parse `Dependencies:` (list of group numbers) and `Files to Modify:` (list of paths or `"None"`) for every group. 2. Build the directed dependency graph from `Dependencies:`. 3. The **ready set** = groups whose dependencies are all `completed` AND that have not yet been dispatched. 4. Greedily build the next wave from the ready set in plan order: a group joins the wave iff its `Files to Modify` does not overlap any group already in the wave. Conflicting groups stay in the ready set for the next wave. 5. Treat `"None"` as the empty set — review-only groups never conflict on files. 6. Glob entries (e.g. `src/migrations/*.sql`) match by glob expansion against other groups' declared paths.
For each wave:
0. For every group in the wave, `TaskUpdate` to `status: "in_progress"` with `owner: "maister-task-group-implementer"`.
1. **Prepare group context** (per group):
Structured, standards-aware development workflows for Claude Code Describe what you want to build, and the plugin handles the rest - from specification through implementation to verification - while enforcing your project's coding standards at every step.
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