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complete-this-project

Use when the user types [COMPLETE_THIS_PROJECT] to activate a full-spectrum project completion workflow. Orchestrates autonomous agents to audit, identify gaps, plan, implement, test, and ship the project to 10/10 quality.

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  • SKILL.md9.6 KB

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[COMPLETE_THIS_PROJECT] Orchestrator

Activate a complete project completion workflow. This skill orchestrates a fleet of specialized autonomous agents to audit source code, identify missing dashboards/features/UI, plan implementation, execute in parallel, test, debug, and ship to production.

Activation

User types [COMPLETE_THIS_PROJECT] optionally followed by a target quality score or specific focus area.

[COMPLETE_THIS_PROJECT]
[COMPLETE_THIS_PROJECT] to 10/10
[COMPLETE_THIS_PROJECT] focus on missing dashboards
[COMPLETE_THIS_PROJECT] focus on security
[COMPLETE_THIS_PROJECT] focus on tests

Execution Protocol

Phase 0: Project Audit & Gap Analysis (Sequential — Orchestrator)

The orchestrator performs a comprehensive audit before dispatching any agents.

Audit checklist:

  1. Dashboard inventory — Enumerate all templates in dashboard/templates/, cross-reference with sidebar navigation
  2. Backend-API coverage — Map every Flask route to its frontend counterpart
  3. UI component audit — Check for missing: buttons, widgets, scrollbars, graphs, charts, dividers, web cards, tooltips, nav tabs, media elements, settings panels
  4. Test coverage gap — Run pytest --collect-only and identify untested modules
  5. Documentation gap — Check README, API docs, CHANGELOG, SKILL.md files
  6. Security audit — Scan for hardcoded secrets, missing auth, input validation gaps
  7. Integration audit — Verify all cross-module imports work, no circular deps
  8. Config audit — Check all JSON/YAML configs are present and valid

Output: PROJECT_AUDIT.md in working directory with structured gap report.

Phase 1: Planning (Sequential — Orchestrator)

Based on audit results, produce:

  • Implementation plan with priority-ordered tasks
  • Dev checklist — each task with acceptance criteria
  • UI/UX design spec for missing dashboards (layout, components, interactions)
  • Risk assessment — identify blocking dependencies

Output: IMPLEMENTATION_PLAN.md and DEV_CHECKLIST.md

Phase 2: Parallel Implementation (Batch — Orchestrator dispatches 4-6 agents)

Dispatch agents in waves based on dependency analysis.

Wave 1 — Core Infrastructure:

  • Agent-DB: Database schema fixes, migrations
  • Agent-API: Missing backend endpoints
  • Agent-Config: Config files, env vars, .env.example updates

Wave 2 — Frontend Dashboards:

  • Agent-FE-1: Dashboard template #1 (highest priority gap)
  • Agent-FE-2: Dashboard template #2
  • Agent-FE-3: Dashboard template #3
  • Agent-FE-4: Dashboard template #4

Wave 3 — UI Polish:

  • Agent-UI: Shared components, CSS consistency, theme enforcement
  • Agent-NAV: Navigation fixes, sidebar, routing
  • Agent-RESP: Responsive design, accessibility (WCAG 2.1 AA)

Wave 4 — Testing:

  • Agent-TEST-1: Unit tests for backend modules
  • Agent-TEST-2: Integration tests
  • Agent-TEST-3: E2E tests for new dashboards

Wave 5 — Documentation:

  • Agent-DOCS-1: API documentation
  • Agent-DOCS-2: README updates
  • Agent-DOCS-3: Screenshot generation

Phase 3: Verification (Sequential — Orchestrator)

Run full test suite, verify no regressions, check CI status.

Phase 4: Ship (Sequential — Orchestrator)

Commit, push, create PR if needed, merge to main, delete feature branches.

Agent Types

Agent TypeRoleFocus
generalImplementationComplex multi-step development tasks
exploreAudit/AnalysisCodebase exploration, gap identification
developerCode GenerationSpecific feature implementation

Project-Specific Configuration

Target Repository

  • Repo: ProjectZeroDays/FreeAI_AI-Inference-Workstation
  • Working Directory: C:\Users\Project Zero\FreeAI_AI-Inference-Workstation
  • Platform: Windows (git at C:\Program Files\Git\cmd\git.exe)
  • Python: 3.14.6, pytest, Flask
  • Frontend: HTML/CSS/JS templates with FreeAI dark theme (CSS variables: --bg, --panel, --border, --accent, --accent-2, --muted, --muted-2, --warn, --danger)

Existing Dashboard Pages

  • index.html, dashboard.html
  • remote-access.html, skills-catalog.html, encryption.html, salad.html
  • desktop.html, subagents.html, aikido.html, hermes.html
  • providers.html, skills.html, workflows.html, scheduler.html, mcp.html
  • plugins-manage.html, browser-v2.html, reports.html, sandbox.html
  • vast-ai.html, loot.html, c2.html, automations.html, gateway.html
  • memory.html, training.html, todos.html
  • secrets.html, rbac.html, login.html

Existing Backend Modules

  • dashboard/backend.py — Flask app (8000+ lines)
  • router/router.py — Router API
  • auth/ — JWT auth, RBAC, users
  • todos/ — Todo API (newly added)
  • browser/ — Knight-Shade browser engine
  • agents/ — Specialized agents
  • skills/ — Skill catalog
  • workflow/ — Workflow engine
  • services/ — Service integrations
  • mcp/ — MCP servers

Test Suite

  • Total: 975+ tests
  • Target: 100% pass rate
  • Coverage target: 90%+

Implementation Plan Template

# IMPLEMENTATION_PLAN.md

## Audit Summary
- Dashboard gaps: X missing
- Backend-API gaps: Y endpoints uncovered
- Test gaps: Z modules untested
- Security issues: N findings
- Documentation gaps: M files missing

## Priority Tasks
### P0 — Blocking (must complete first)
1. [ ] Task name — reason, effort, dependency

### P1 — Core Features
1. [ ] Task name — reason, effort, dependency

### P2 — Polish & UX
1. [ ] Task name — reason, effort, dependency

### P3 — Documentation
1. [ ] Task name — reason, effort, dependency

## Dev Checklist
- [ ] All P0 tasks complete
- [ ] All P1 tasks complete
- [ ] Tests: X/Y passing
- [ ] Lint: clean
- [ ] Security scan: clean
- [ ] CI: green
- [ ] Docs: updated
- [ ] Committed and pushed

Dev Checklist Template

# DEV_CHECKLIST.md

## Pre-Flight
- [ ] Audit complete
- [ ] Plan approved
- [ ] Branch created: `feat/project-completion`

## Implementation
- [ ] Phase 2 Wave 1 (Infrastructure) complete
- [ ] Phase 2 Wave 2 (Frontend) complete
- [ ] Phase 2 Wave 3 (UI Polish) complete
- [ ] Phase 2 Wave 4 (Testing) complete
- [ ] Phase 2 Wave 5 (Documentation) complete

## Verification
- [ ] All tests passing: X/X
- [ ] No lint errors
- [ ] No security alerts (CodeQL clean)
- [ ] No broken imports
- [ ] Backend starts without errors
- [ ] Frontend builds successfully
- [ ] Dashboard pages render correctly
- [ ] API endpoints respond correctly

## Post-Flight
- [ ] Committed with descriptive message
- [ ] Pushed to origin
- [ ] PR created (if applicable)
- [ ] Merged to main
- [ ] Feature branch deleted
- [ ] CHANGELOG updated
- [ ] Git tag created (if version bump)

Quality Gates

10/10 Criteria

  1. All dashboards have corresponding backend APIs
  2. All backend APIs have frontend UI coverage
  3. All modules have test coverage (≥90%)
  4. No security vulnerabilities (CodeQL clean)
  5. All tests passing (100%)
  6. Consistent UI/UX across all pages
  7. Documentation complete (README, API docs, CHANGELOG)
  8. No merge conflicts, clean git history
  9. CI/CD pipeline green
  10. Zero known issues or TODOs in production code

UI Consistency Rules

  • Use project CSS variables: --bg, --panel, --border, --accent, --accent-2, --muted, --muted-2, --warn, --danger
  • Dark theme by default (glass-morphism style)
  • Consistent card layout: <div class="q-card"> with .q-card-header, .q-card-content
  • Sidebar navigation: collapsible, icon + label
  • Toast notifications: success (green), error (red), info (blue)
  • Loading states: spinner + skeleton screens
  • Error states: inline error messages with icons

Error Handling

Agent Failure

  1. Log failure to .completion/failures.log
  2. Analyze root cause from error output
  3. Retry once with modified approach
  4. Escalate to orchestrator if second failure
  5. Continue with other agents (don't block entire workflow)

Test Failures

  1. Read failure output
  2. Diagnose root cause (import error, logic error, test isolation)
  3. Fix code or test
  4. Re-run failing test in isolation
  5. Re-run full suite
  6. Report to orchestrator

Timeouts

  • Set explicit timeouts: "timeout_ms": 600000 (10 minutes per agent)
  • Agents that timeout are marked failed — timeout
  • Orchestration continues with remaining agents
  • Timeout agents are retried in next wave with simplified scope

Output Artifacts

During Execution

  • PROJECT_AUDIT.md — Gap analysis report
  • IMPLEMENTATION_PLAN.md — Prioritized task list
  • DEV_CHECKLIST.md — Trackable completion checklist
  • .completion/progress.json — Real-time progress tracking
  • .completion/failures.log — Failed agent logs

Final Deliverables

  • All missing dashboards implemented
  • All missing backend APIs implemented
  • All tests passing
  • Documentation updated
  • Commit pushed to main (or PR created)
  • Feature branches cleaned up

When NOT to Use [COMPLETE_THIS_PROJECT]

  • Already complete project — If all quality gates pass, skip
  • Single focused fix — Use [SWARM] for targeted work
  • No access to repo — Cannot audit or implement without code access
  • External dependencies blocking — If CI/build requires external access not available

Use [COMPLETE_THIS_PROJECT] when you want autonomous end-to-end project completion with full audit, planning, implementation, testing, and deployment.

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