agentleFS
qf-studioqf-studio/navigator/skills/nav-workflow/SKILL.md

nav-workflow

Skill355 starsChanged 13 months agoMITView on GitHub

Unified workflow orchestration for substantial tasks. Auto-detects complexity, defers to matching skills, or provides phase-based execution. Solves workflow conflicts between skills, loop mode, and CLAUDE.md.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

5 rules. About 0 are common, 4 are distinctive, and 1 is very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈4

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    No obvious skill match (not "create component", "add endpoint", etc.)

    line 38
  2. Distinctive:

    Use Task agent for codebase exploration

    line 152
  3. Very specific:

    If the brief declared a Contradiction, query prior resolutions (graph_manager.py --action contradictions --filter "<terms>") and run the …

    line 155
  4. Distinctive:

    Write tests as appropriate

    line 193
  5. Distinctive:

    Default to current or next logical phase

    line 416

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Navigator Task Mode Skill

Unified workflow orchestration that coordinates between skills, loop mode, and direct execution based on task complexity and type.

Why This Exists

Navigator had three disconnected workflow systems:

  1. Skills (frontend-component, etc.) - have mini-workflows (Step 1 → Step 7)
  2. Loop Mode - separate phase system (INIT → COMPLETE)
  3. CLAUDE.md - documents workflow nobody enforces

Result: Conflicts when multiple systems try to run.

Solution: Task Mode acts as a coordinator - detecting when skills should handle workflow vs when to provide standalone phase guidance.

How It Works

User Request
    ↓
TASK MODE (this skill)
    ├─ Simple task? → Direct execution (no overhead)
    ├─ Skill matches? → Let skill run (it has workflow)
    └─ Substantial, no skill? → Task Mode phases

When to Invoke

Auto-invoke when:

  • User starts substantial work (3+ steps expected)
  • No obvious skill match (not "create component", "add endpoint", etc.)
  • Request involves planning, refactoring, or multi-file changes
  • Loop mode is disabled but structured execution needed

DO NOT invoke if:

  • Trivial task (typo fix, single line change)
  • Skill will clearly handle it (component creation, endpoint, migration, etc.)
  • User says "quick", "just do", "simple fix"
  • Already in Task Mode or Loop Mode

Configuration

Task Mode settings in .agent/.nav-config.json:

{
  "task_mode": {
    "enabled": true,
    "auto_detect": true,
    "defer_to_skills": true,
    "complexity_threshold": 0.5,
    "show_phase_indicator": true
  }
}

Options:

  • enabled: Master switch for Task Mode
  • auto_detect: Auto-detect complexity (vs explicit invocation only)
  • defer_to_skills: Let matching skills handle their own workflow
  • complexity_threshold: Score (0-1) required to activate
  • show_phase_indicator: Show phase banners during execution

Execution Steps

Step 1: Analyze Request

Run complexity detection:

python3 functions/complexity_detector.py \
  --request "{USER_REQUEST}" \
  --context "{RECENT_CONTEXT}"

Complexity signals:

  • Multi-file changes expected (+0.3)
  • Planning language ("implement", "refactor", "add feature") (+0.2)
  • Vague requirements needing research (+0.2)
  • Cross-system changes (frontend+backend) (+0.3)
  • Testing requirements mentioned (+0.1)

Simple task signals:

  • Single file mentioned (-0.3)
  • Fix/typo/update language (-0.2)
  • Specific location given (-0.2)
  • "Quick" or "simple" mentioned (-0.3)

Decision:

IF complexity_score < threshold:
  → Direct execution (exit Task Mode)

Step 2: Check Skill Match

Run skill detection:

python3 functions/skill_detector.py \
  --request "{USER_REQUEST}" \
  --available-skills "{SKILLS_LIST}"

Skill matching rules:

  • "create component" → frontend-component
  • "add endpoint" → backend-endpoint
  • "database migration" → database-migration
  • "write test" → backend-test/frontend-test
  • etc.

Decision:

IF matching_skill AND defer_to_skills:
  → Show: "Detected: {SKILL_NAME} skill will handle this"
  → Exit Task Mode (skill has workflow)

Step 3: Initialize Task Mode

If substantial task, no skill match:

Display activation:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TASK MODE ACTIVATED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Task: {TASK_SUMMARY}
Complexity: {SCORE} (threshold: {THRESHOLD})
Skills matched: None (Task Mode will orchestrate)

Phases:
  ○ RESEARCH - Understand requirements
  ○ PLAN - Create implementation strategy
  ○ IMPL - Execute changes
  ○ VERIFY - Test and validate
  ○ COMPLETE - Commit and document

Starting RESEARCH phase...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Step 4: Execute Phases

RESEARCH Phase:

  • Use Task agent for codebase exploration
  • State the Ideal Final Result (the no-new-code version) and the reuse inventory (what already does ≥80% of this)
  • If the brief declared a Contradiction, query prior resolutions (graph_manager.py --action contradictions --filter "<terms>") and run the nav-triz divergence step: three candidates from different separation modes, one recommended, before PLAN
  • Identify affected files
  • Find existing patterns
  • Document unknowns

Show phase transition:

python3 functions/phase_indicator.py \
  --phase "RESEARCH" \
  --status "complete" \
  --next "PLAN"
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PHASE: RESEARCH → PLAN
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Research completed:
  ✓ Found {N} related files
  ✓ Identified patterns in {LOCATION}
  ✓ Dependencies mapped

Moving to PLAN phase...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

PLAN Phase:

  • Create TodoWrite items
  • Identify order of changes
  • Document approach

IMPL Phase:

  • Execute planned changes
  • Follow project patterns
  • Write tests as appropriate

VERIFY Phase:

  • Run tests
  • Type check
  • Build validation
  • Run nav-simplify (if enabled)

COMPLETE Phase:

  • Commit changes
  • Update documentation
  • Close tickets (if PM configured)
  • Suggest compact

Step 5: Complete Task Mode

Display completion:

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
TASK MODE COMPLETE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Task: {TASK_SUMMARY}
Phases:
  ✓ RESEARCH - {DURATION}
  ✓ PLAN - {DURATION}
  ✓ IMPL - {DURATION}
  ✓ VERIFY - {DURATION}
  ✓ COMPLETE

Summary:
- {FILES_CHANGED} files changed
- {TESTS_ADDED} tests added
- Committed: {COMMIT_SHA}

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Predefined Functions

functions/complexity_detector.py

Analyzes request to determine complexity score.

Usage:

python3 functions/complexity_detector.py \
  --request "Refactor the auth system to use JWT" \
  --context "Working on user management"

Returns:

{
  "complexity_score": 0.7,
  "signals": {
    "multi_file": true,
    "planning_language": true,
    "cross_system": false
  },
  "recommendation": "task_mode",
  "reason": "Refactoring task with multi-file scope"
}

functions/skill_detector.py

Checks if a skill should handle this request.

Usage:

python3 functions/skill_detector.py \
  --request "Add a login component" \
  --available-skills '["frontend-component", "backend-endpoint", "database-migration"]'

Returns:

{
  "matching_skill": "frontend-component",
  "confidence": 0.95,
  "triggers": ["create component", "add component"],
  "defer": true,
  "reason": "Request matches frontend-component skill triggers"
}

functions/phase_indicator.py

Generates phase transition displays.

Usage:

python3 functions/phase_indicator.py \
  --phase "IMPL" \
  --status "in_progress" \
  --progress 60 \
  --details '{"files_changed": 3, "tests_written": 2}'

Returns: Formatted phase indicator block.


Integration with Navigator

With Loop Mode

Task Mode is lighter weight than Loop Mode:

  • Loop Mode: Strict iteration control, stagnation detection, EXIT_SIGNAL
  • Task Mode: Phase guidance, skill coordination, no strict gates

When to use which:

  • Loop Mode: "Run until done", autonomous iteration
  • Task Mode: Substantial task, need structure but not strict iteration

Can coexist: Loop Mode wraps Task Mode phases if both active.

With Skills

Task Mode defers to skills by default:

  • Skill has its own workflow (Steps 1-7)
  • Task Mode doesn't add overhead
  • Just shows "Skill X will handle this"

Override: Set defer_to_skills: false to always use Task Mode phases.

With nav-simplify

Simplification runs during VERIFY phase:

  • After tests pass
  • Before committing
  • Respects simplification.enabled config

With Autonomous Completion

COMPLETE phase triggers autonomous protocol:

  • Commit changes
  • Archive documentation
  • Close tickets
  • Create markers

Comparison Table

AspectDirect ExecutionTask ModeLoop Mode
ComplexityLowMedium-HighHigh
Phase trackingNoneVisual phasesStrict phases
Iteration controlNoneNoneEXIT_SIGNAL
Skill coordinationNoneDefersIndependent
Best forQuick fixesFeaturesAutonomous work

Examples

Example 1: Simple Fix (Direct Execution)

User: "Fix the typo in README"

→ Complexity: 0.1 (below threshold)
→ Direct execution (no Task Mode overhead)

Example 2: Component Creation (Skill Defers)

User: "Create a UserProfile component"

→ Complexity: 0.6
→ Skill match: frontend-component (0.95 confidence)
→ Task Mode defers: "frontend-component skill will handle this"
→ Skill executes its own Step 1-7 workflow

Example 3: Refactoring (Task Mode Active)

User: "Refactor auth to use JWT instead of sessions"

→ Complexity: 0.8
→ Skill match: None
→ Task Mode activates
→ RESEARCH: Explore current auth implementation
→ PLAN: Document JWT migration steps
→ IMPL: Execute changes across files
→ VERIFY: Run tests, simplify code
→ COMPLETE: Commit, document

Example 4: With Loop Mode

User: "Run until done: implement user roles"

→ Loop Mode activated (explicit trigger)
→ Task Mode phases guide each iteration:
    Iteration 1: RESEARCH phase
    Iteration 2: PLAN + IMPL phases
    Iteration 3: IMPL + VERIFY phases
    Iteration 4: COMPLETE + EXIT_SIGNAL

Error Handling

Config not found:

Task Mode config not found in .nav-config.json.
Using defaults: auto_detect=true, threshold=0.5

Skill detection fails:

  • Fall back to Task Mode (conservative)
  • Log warning but continue

Phase detection ambiguous:

  • Default to current or next logical phase
  • Show reasoning for user

Success Criteria

Task Mode succeeds when:

  • Simple tasks execute without overhead
  • Skills handle their matched requests
  • Substantial tasks get phase structure
  • No conflicts between systems
  • User sees clear progress indicators

Verification Checklist

After implementation:

  • "Add login component" → frontend-component runs (not Task Mode)
  • "Refactor auth system" → Task Mode runs (no matching skill)
  • "Fix typo" → Direct execution (not substantial)
  • Phase indicators show during Task Mode
  • Skills continue working unchanged
  • Loop Mode can wrap Task Mode phases

This skill provides unified workflow orchestration, resolving conflicts between Navigator's multiple workflow systems.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.