Executes implementation plans with progress tracking, checkpoint validation, and quality gates. Use after planning is complete and tasks are ready to implement.
npx skills add https://github.com/athola/claude-night-market --skill project-execution
Skill(attune:project-planning) first)With superpowers:
Skill(superpowers:executing-plans) for systematic executionSkill(superpowers:systematic-debugging) for issue resolutionSkill(superpowers:verification-before-completion) for validationSkill(superpowers:test-driven-development) for TDD workflowWith imbue:
Skill(imbue:graduated-implementation) at the ramp gate soeach increment's ambition is earned by demonstrated understanding
of the prior one, not ramped on completion alone
Without superpowers:
Actions:
Validation:
For each task in dependency order:
1. PRE-TASK
- Verify dependencies complete
- Review acceptance criteria
- Create feature branch (optional)
- Set up task context
2. IMPLEMENT (TDD Cycle)
- Write failing test (RED)
- Implement minimal code (GREEN)
- Refactor for quality (REFACTOR)
- Repeat until all criteria met
3. VALIDATE
- All tests passing?
- All acceptance criteria met?
- Code quality checks pass?
- Documentation updated?
4. RAMP GATE (before the next, more ambitious task)
- Invoke Skill(imbue:graduated-implementation)
- Demonstrate understanding of THIS increment, sized to stakes:
low-stakes on the evidence gate (green tests plus a recorded
tradeoff), high-stakes on the human explaining the diff unaided
- On a clean demonstration, record it in the ramp ledger and
mark the rung widened; below the band, hold and split the next
task smaller instead of ramping
5. CHECKPOINT
- Mark task complete IMMEDIATELY (do NOT batch)
- Update execution state
- Report progress
- Identify blockers
Task Completion Discipline: Always call TaskUpdate(taskId: "X", status: "completed") right after finishing each task. Never defer completions to end of session.
Verification: Run pytest -v to verify tests pass.
Actions:
Implementation is where the honest lessons appear: the approach that had to be
reworked, the blocker that cost a day, the assumption from planning that did
not hold. Capture these in docs/lessons-learned.md now, blamelessly, instead
of letting them vanish into "done." Draft and confirm one entry per
substantive lesson:
Skill(leyline:decision-journal) and followit to append a lesson entry: what_happened, what_didnt_work,
root_cause, and a concrete action. Set phase to execute. Show the
draft; append on confirmation (status starts open).
docs/lessons-learned.md by hand usingthe in-file ENTRY TEMPLATE; assign the next LL-NNN id.
Trigger this whenever execution involved rework, a failed approach, or a
blocker that exhausted the two-challenge / 3-attempt limit. A clean run with no
surprises needs no entry.
This is the final phase of the attune workflow. No auto-continuation occurs after execution completes. The workflow terminates here. Unlike brainstorming, specification, and planning phases, execution does NOT auto-invoke any subsequent phase.
RED Phase:
# Write test that fails
def test_user_authentication():
user = authenticate("[email protected]", "password")
assert user.is_authenticated
# Run test → FAILS (feature not implemented)
Verification: Run pytest -v to verify tests pass.
GREEN Phase:
# Implement minimal code to pass
def authenticate(email, password):
# Simplest implementation
user = User.find_by_email(email)
if user and user.check_password(password):
user.is_authenticated = True
return user
return None
# Run test → PASSES
Verification: Run pytest -v to verify tests pass.
REFACTOR Phase:
# Improve code quality
def authenticate(email: str, password: str) -> Optional[User]:
"""Authenticate user with email and password."""
user = User.find_by_email(email)
if user is None:
return None
if not user.check_password(password):
return None
user.mark_authenticated()
return user
# Run test → STILL PASSES
Verification: Run pytest -v to verify tests pass.
Quality Gates:
- [ ] All acceptance criteria met
- [ ] All tests passing (unit + integration)
- [ ] Code linted (no warnings)
- [ ] Type checking passes (if applicable)
- [ ] Documentation updated
- [ ] No regression in other components
Verification: Run pytest -v to verify tests pass.
Automated Checks:
# Run quality gates
make lint # Linting passes
make typecheck # Type checking passes
make test # All tests pass
make coverage # Coverage threshold met
Verification: Run pytest -v to verify tests pass.
Save to .attune/execution-state.json:
{
"plan_file": "docs/implementation-plan.md",
"started_at": "2026-01-02T10:00:00Z",
"last_checkpoint": "2026-01-02T14:30:22Z",
"current_sprint": "Sprint 1",
"current_phase": "Phase 1",
"tasks": {
"TASK-001": {
"status": "complete",
"started_at": "2026-01-02T10:05:00Z",
"completed_at": "2026-01-02T10:50:00Z",
"duration_minutes": 45,
"acceptance_criteria_met": true,
"tests_passing": true
},
"TASK-002": {
"status": "in_progress",
"started_at": "2026-01-02T14:00:00Z",
"progress_percent": 60,
"blocker": null
}
},
"metrics": {
"tasks_complete": 15,
"tasks_total": 40,
"completion_percent": 37.5,
"velocity_tasks_per_day": 3.2,
"estimated_completion_date": "2026-02-15"
},
"blockers": []
}
Verification: Run pytest -v to verify tests pass.
Daily Standup:
# Daily Standup - [Date]
## Yesterday
- ✅ [Task] ([duration])
- ✅ [Task] ([duration])
## Today
- 🔄 [Task] ([progress]%)
- 📋 [Task] (planned)
## Blockers
- [Blocker] or None
## Metrics
- Sprint progress: [X/Y] tasks ([%]%)
- [Status message]
Verification: Run the command with --help flag to verify availability.
Sprint Report:
# Sprint [N] Progress Report
**Dates**: [Start] - [End]
**Goal**: [Sprint objective]
## Completed ([X] tasks)
- [Task list]
## In Progress ([Y] tasks)
- [Task] ([progress]%)
## Blocked ([Z] tasks)
- [Task]: [Blocker description]
## Burndown
- Day 1: [N] tasks remaining
- Day 5: [M] tasks remaining ([status])
- Estimated completion: [Date] ([delta])
## Risks
- [Risk] or None identified
Verification: Run the command with --help flag to verify availability.
Common Blockers:
When blocked, apply debugging framework:
When to escalate:
Escalation format:
## Blocker: [TASK-XXX] - [Issue]
**Symptom**: [What's happening]
**Impact**: [Which tasks/timeline affected]
**Attempted Solutions**:
1. [Solution 1] - [Result]
2. [Solution 2] - [Result]
**Recommendation**: [Proposed path forward]
**Decision Needed**: [What needs to be decided]
Verification: Run the command with --help flag to verify availability.
Task is complete when:
Test Pyramid:
**Verification:** Run `pytest -v` to verify tests pass.
/\
/E2E\ Few, slow, expensive
/------\
/ INT \ Some, moderate speed
/----------\
/ UNIT \ Many, fast, cheap
Verification: Run the command with --help flag to verify availability.
Per Task:
Track daily:
Formulas:
**Verification:** Run `pytest -v` to verify tests pass.
Velocity = Tasks completed / Days elapsed
Estimated completion = Tasks remaining / Velocity
On track? = Estimated completion <= Sprint end date
Verification: Run the command with --help flag to verify availability.
If ahead of schedule:
If behind schedule:
docs/lessons-learned.md as an open entry (a clean run needs none).
Skill(superpowers:executing-plans) - Execution framework (if available)Skill(superpowers:systematic-debugging) - Debugging (if available)Skill(superpowers:test-driven-development) - TDD (if available)Skill(superpowers:verification-before-completion) - Validation (if available)Skill(attune:mission-orchestrator) - Full lifecycle orchestrationAgent(attune:project-implementer) - Task execution agent/attune:execute - Invoke this skill/attune:execute --task [ID] - Execute specific task/attune:execute --resume - Resume from checkpointAt mission completion, produce a Mission Report using the
template from references/mission-report.md. The report documents:
See references/mission-report.md for the full template and
example reports for successful, partial, and failed missions.
See /attune:execute command documentation for complete examples.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
Intelligently organizes your files and folders across your computer by understanding context, finding duplicates, suggesting better structures, and automating cleanup tasks. Reduces cognitive load and keeps your digital workspace tidy without manual effort.
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
Implements Manus-style file-based planning for complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when starting complex multi-step tasks, research projects, or any task requiring >5 tool calls.
Creative research ideation and exploration. Use for open-ended brainstorming sessions, exploring interdisciplinary connections, challenging assumptions, or identifying research gaps. Best for early-stage research planning when you do not have specific observations yet. For formulating testable hypotheses from data use hypothesis-generation.
Comprehensive GitHub project management with swarm-coordinated issue tracking, project board automation, and sprint planning
Interview the user relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree. Use when user wants to stress-test a plan, get grilled on their design, or mentions "grill me".
Take athola/project-execution from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.