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gps-denied-onboard/.claude/commands/implement/SKILL.md
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Oleksandr Bezdieniezhnykh 3b27b69cc0 refactor(implement): update SKILL and batching algorithm for sequential task execution
- Changed the implementation strategy to execute tasks sequentially instead of in parallel, enhancing clarity and control.
- Updated documentation to reflect the new execution model, emphasizing dependency-aware batching and integrated code review.
- Revised the batching algorithm to ensure tasks are grouped for review while maintaining sequential execution within each batch.
- Removed references to parallel subagents and adjusted task ownership checks accordingly.

This refactor aims to streamline the implementation process and improve the overall workflow.
2026-04-21 20:32:47 +03:00

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9.2 KiB
Markdown

---
name: implement
description: |
Implement tasks sequentially with dependency-aware batching and integrated code review.
Reads flat task files and _dependencies_table.md from TASKS_DIR, computes execution batches via topological sort,
implements tasks one at a time in dependency order, runs code-review skill after each batch, and loops until done.
Use after /decompose has produced task files.
Trigger phrases:
- "implement", "start implementation", "implement tasks"
- "execute tasks"
category: build
tags: [implementation, batching, code-review]
disable-model-invocation: true
---
# Implementation Runner
Implement all tasks produced by the `/decompose` skill. This skill reads task specs, computes execution order, writes the code and tests for each task **sequentially** (no subagents, no parallel execution), validates results via the `/code-review` skill, and escalates issues.
For each task the main agent reads the task spec, analyzes the codebase, implements the feature, writes tests, and verifies acceptance criteria — then moves on to the next task.
## Core Principles
- **Sequential execution**: implement one task at a time. Do NOT spawn subagents and do NOT run tasks in parallel.
- **Dependency-aware ordering**: tasks run only when all their dependencies are satisfied
- **Batching for review, not parallelism**: tasks are grouped into batches so `/code-review` and commits operate on a coherent unit of work — all tasks inside a batch are still implemented one after the other
- **Integrated review**: `/code-review` skill runs automatically after each batch
- **Auto-start**: batches start immediately — no user confirmation before a batch
- **Gate on failure**: user confirmation is required only when code review returns FAIL
- **Commit and push per batch**: after each batch is confirmed, commit and push to remote
## Context Resolution
- TASKS_DIR: `_docs/02_tasks/`
- Task files: all `*.md` files in TASKS_DIR (excluding files starting with `_`)
- Dependency table: `TASKS_DIR/_dependencies_table.md`
## Prerequisite Checks (BLOCKING)
1. TASKS_DIR exists and contains at least one task file — **STOP if missing**
2. `_dependencies_table.md` exists — **STOP if missing**
3. At least one task is not yet completed — **STOP if all done**
## Algorithm
### 1. Parse
- Read all task `*.md` files from TASKS_DIR (excluding files starting with `_`)
- Read `_dependencies_table.md` — parse into a dependency graph (DAG)
- Validate: no circular dependencies, all referenced dependencies exist
### 2. Detect Progress
- Scan the codebase to determine which tasks are already completed
- Match implemented code against task acceptance criteria
- Mark completed tasks as done in the DAG
- Report progress to user: "X of Y tasks completed"
### 3. Compute Next Batch
- Topological sort remaining tasks
- Select tasks whose dependencies are ALL satisfied (completed)
- A batch is simply a coherent group of tasks for review + commit. Within the batch, tasks are implemented sequentially in topological order.
- Cap the batch size at a reasonable review scope (default: 4 tasks)
- If the batch would exceed 20 total complexity points, suggest splitting and let the user decide
### 4. Assign File Ownership
For each task in the batch:
- Parse the task spec's Component field and Scope section
- Map the component to directories/files in the project
- Determine: files OWNED (exclusive write), files READ-ONLY (shared interfaces, types), files FORBIDDEN (other components' owned files)
Since execution is sequential, there is no parallel-write conflict to resolve; ownership here is a **scope discipline** check — it stops a task from drifting into unrelated components even when alone.
### 5. Update Tracker Status → In Progress
For each task in the batch, transition its ticket status to **In Progress** via the configured work item tracker (Jira MCP — see `protocols.md` for detection) before starting work. If `tracker: local`, skip this step.
### 6. Implement Tasks Sequentially
For each task in the batch **in topological order, one at a time**:
1. Read the task spec file.
2. Respect the file-ownership envelope computed in Step 4 (OWNED / READ-ONLY / FORBIDDEN).
3. Implement the feature and write/update tests for every acceptance criterion in the spec.
4. Run the relevant tests locally before moving on to the next task in the batch. If tests fail, fix in-place — do not defer.
5. Capture a short per-task status line (files changed, tests pass/fail, any blockers) for the batch report.
Do NOT spawn subagents and do NOT attempt to implement two tasks simultaneously, even if they touch disjoint files.
### 7. Collect Status
- After all tasks in the batch are finished, aggregate the per-task status lines into a structured batch status.
- If any task reported "Blocked", log the blocker with the failing task's ID and continue — the batch report will surface it.
**Stuck detection** — while implementing a task, watch for these signals in your own progress:
- The same file has been rewritten 3+ times without tests going green → stop, mark the task Blocked, and move to the next task in the batch.
- You have tried 3+ distinct approaches without evidence-driven progress → stop, mark Blocked, move on.
- Do NOT loop indefinitely on a single task. Record the blocker and proceed.
### 8. Code Review
- Run `/code-review` skill on the batch's changed files + corresponding task specs
- The code-review skill produces a verdict: PASS, PASS_WITH_WARNINGS, or FAIL
### 9. Auto-Fix Gate
Auto-fix loop with bounded retries (max 2 attempts) before escalating to user:
1. If verdict is **PASS** or **PASS_WITH_WARNINGS**: show findings as info, continue automatically to step 10
2. If verdict is **FAIL** (attempt 1 or 2):
- Parse the code review findings (Critical and High severity items)
- For each finding, attempt an automated fix using the finding's location, description, and suggestion
- Re-run `/code-review` on the modified files
- If now PASS or PASS_WITH_WARNINGS → continue to step 10
- If still FAIL → increment retry counter, repeat from (2) up to max 2 attempts
3. If still **FAIL** after 2 auto-fix attempts: present all findings to user (**BLOCKING**). User must confirm fixes or accept before proceeding.
Track `auto_fix_attempts` count in the batch report for retrospective analysis.
### 10. Test
- Run the full test suite
- If failures: report to user with details
### 11. Commit and Push
- After user confirms the batch (explicitly for FAIL, implicitly for PASS/PASS_WITH_WARNINGS):
- `git add` all changed files from the batch
- `git commit` with a message that includes ALL task IDs (Jira IDs, ADO IDs, or numeric prefixes) of tasks implemented in the batch, followed by a summary of what was implemented. Format: `[TASK-ID-1] [TASK-ID-2] ... Summary of changes`
- `git push` to the remote branch
### 12. Update Tracker Status → In Testing
After the batch is committed and pushed, transition the ticket status of each task in the batch to **In Testing** via the configured work item tracker. If `tracker: local`, skip this step.
### 13. Loop
- Go back to step 2 until all tasks are done
- When all tasks are complete, report final summary
## Batch Report Persistence
After each batch completes, save the batch report to `_docs/03_implementation/batch_[NN]_report.md`. Create the directory if it doesn't exist. When all tasks are complete, produce `_docs/03_implementation/FINAL_implementation_report.md` with a summary of all batches.
## Batch Report
After each batch, produce a structured report:
```markdown
# Batch Report
**Batch**: [N]
**Tasks**: [list]
**Date**: [YYYY-MM-DD]
## Task Results
| Task | Status | Files Modified | Tests | Issues |
|------|--------|---------------|-------|--------|
| [JIRA-ID]_[name] | Done | [count] files | [pass/fail] | [count or None] |
## Code Review Verdict: [PASS/FAIL/PASS_WITH_WARNINGS]
## Auto-Fix Attempts: [0/1/2]
## Blocked Tasks: [count or None]
## Next Batch: [task list] or "All tasks complete"
```
## Stop Conditions and Escalation
| Situation | Action |
|-----------|--------|
| Same task rewritten 3+ times without green tests | Mark Blocked, continue batch, escalate at batch end |
| Task blocked on external dependency (not in task list) | Report and skip |
| File ownership violated (task wrote outside OWNED) | ASK user |
| Test failures exceed 50% of suite after a batch | Stop and escalate |
| All tasks complete | Report final summary, suggest final commit |
| `_dependencies_table.md` missing | STOP — run `/decompose` first |
## Recovery
Each batch commit serves as a rollback checkpoint. If recovery is needed:
- **Tests fail after a batch commit**: `git revert <batch-commit-hash>` using the hash from the batch report in `_docs/03_implementation/`
- **Resuming after interruption**: Read `_docs/03_implementation/batch_*_report.md` files to determine which batches completed, then continue from the next batch
- **Multiple consecutive batches fail**: Stop and escalate to user with links to batch reports and commit hashes
## Safety Rules
- Never start a task whose dependencies are not yet completed
- Never run tasks in parallel and never spawn subagents
- If a task is flagged as stuck, stop working on it and report — do not let it loop indefinitely
- Always run tests after each batch completes