
nav-loop
by alekspetrov
Finish What You Start — Context engineering for Claude Code. Sessions last 20+ exchanges instead of crashing at 7.
SKILL.md
name: nav-loop description: Run tasks until complete with structured completion signals. Auto-invoke when user says "run until done", "keep going until complete", "iterate until finished", "loop mode", "autonomous mode". allowed-tools: Read, Write, Edit, Bash, Grep, Glob, AskUserQuestion version: 1.0.0
Navigator Loop Skill
Execute tasks iteratively until completion with structured signals, stagnation detection, and dual-condition exit gates.
Why This Exists
Traditional AI coding requires manual "keep going" prompts. Navigator Loop provides:
- Structured completion signals (NAVIGATOR_STATUS block)
- Dual-condition exit gate (heuristics + explicit signal)
- Stagnation detection (circuit breaker for stuck loops)
- Progress visibility (phases: INIT → RESEARCH → IMPL → VERIFY → COMPLETE)
Based on Ralph's autonomous loop innovations, adapted for Navigator's context-efficient architecture.
When to Invoke
Auto-invoke when:
- User says "run until done", "keep going until complete"
- User says "iterate until finished", "autonomous mode"
- User says "loop mode", "don't stop until done"
- Task document has
loop_mode: true
DO NOT invoke if:
- Single-step task (no iteration needed)
- User says "just do this once"
- Already in loop mode (prevent nested loops)
- User explicitly disabled loop mode
Configuration
Loop mode settings in .agent/.nav-config.json:
{
"loop_mode": {
"enabled": false,
"max_iterations": 5,
"stagnation_threshold": 3,
"exit_requires_explicit_signal": true,
"show_status_block": true
}
}
Options:
enabled: Default state for new tasksmax_iterations: Hard cap to prevent infinite loops (1-20)stagnation_threshold: Same-state count before pause (2-5)exit_requires_explicit_signal: Require EXIT_SIGNAL alongside heuristics
Execution Steps
Step 1: Initialize Loop State
Load configuration:
python3 functions/phase_detector.py --init
Initialize tracking variables:
iteration = 1
max_iterations = config.loop_mode.max_iterations or 5
stagnation_threshold = config.loop_mode.stagnation_threshold or 3
hash_history = []
phase = "INIT"
Display loop start:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LOOP MODE ACTIVATED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Task: {TASK_DESCRIPTION}
Max iterations: {max_iterations}
Stagnation threshold: {stagnation_threshold}
Starting iteration 1...
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 2: Execute Iteration
Perform task work based on current phase:
| Phase | Actions |
|---|---|
| INIT | Load context, understand requirements |
| RESEARCH | Explore codebase, find patterns |
| IMPL | Write code, make changes |
| VERIFY | Run tests, validate functionality, simplify code |
| COMPLETE | All indicators met, ready to exit |
Track changes during iteration:
- Files read (for RESEARCH detection)
- Files changed (for IMPL detection)
- Tests run (for VERIFY detection)
- Commits made (for completion indicator)
Step 3: Generate Status Block
After each iteration, generate NAVIGATOR_STATUS:
python3 functions/status_generator.py \
--phase "{phase}" \
--iteration "{iteration}" \
--max-iterations "{max_iterations}" \
--indicators "{indicators_json}" \
--state-hash "{current_hash}" \
--prev-hash "{previous_hash}" \
--stagnation-count "{stagnation_count}"
Display status block:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
NAVIGATOR_STATUS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Phase: {PHASE}
Iteration: {N}/{MAX}
Progress: {PERCENT}%
Completion Indicators:
[{x or space}] Code changes committed
[{x or space}] Tests passing
[{x or space}] Code simplified
[{x or space}] Documentation updated
[{x or space}] Ticket closed
[{x or space}] Marker created
Exit Conditions:
Heuristics: {MET}/{TOTAL} (need 2+)
EXIT_SIGNAL: {true/false}
State Hash: {HASH}
Previous Hash: {PREV_HASH}
Stagnation: {COUNT}/{THRESHOLD}
Next Action: {NEXT_ACTION}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 4: Check Stagnation
Calculate state hash:
python3 functions/stagnation_detector.py \
--phase "{phase}" \
--indicators "{indicators_json}" \
--files-changed "{files_json}" \
--history "{hash_history_json}"
If stagnation detected (same hash for N iterations):
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
STAGNATION DETECTED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Same state detected for {N} consecutive iterations.
Current State:
Phase: {PHASE}
Indicators: {MET}/{TOTAL}
Last Action: {LAST_ACTION}
Possible causes:
1. Blocked by external dependency
2. Unclear requirements
3. Test failures preventing progress
4. Missing context or permissions
Options:
1. [Continue] - Try one more iteration
2. [Clarify] - Explain what's blocking
3. [Abort] - End loop, manual intervention
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Use AskUserQuestion for choice:
- Continue: Reset stagnation counter, continue loop
- Clarify: User explains blocker, incorporate and continue
- Abort: Exit loop with partial completion marker
Step 5: Check Exit Conditions
Evaluate dual-condition gate:
python3 functions/exit_gate.py \
--indicators "{indicators_json}" \
--exit-signal "{exit_signal}" \
--require-explicit "{config.exit_requires_explicit_signal}"
Exit conditions:
- Heuristics: At least 2 completion indicators met
- EXIT_SIGNAL: Explicit signal that task is complete
Completion indicators (mapped from autonomous protocol):
code_committed: Changes committed to gittests_passing: Test suite passes (exit code 0)code_simplified: Code simplified for clarity (v5.4.0+)docs_updated: Documentation files changedticket_closed: PM tool ticket marked donemarker_created: Completion marker exists
Exit decision logic:
IF heuristics >= 2 AND exit_signal == true:
→ EXIT: Task complete
ELIF heuristics >= 2 AND exit_signal == false:
→ CONTINUE: Awaiting explicit completion signal
ELIF exit_signal == true AND heuristics < 2:
→ BLOCKED: Cannot exit with insufficient indicators
ELSE:
→ CONTINUE: More work needed
Step 6: Handle Max Iterations
If iteration >= max_iterations:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MAX ITERATIONS REACHED
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Completed {MAX} iterations without full completion.
Current State:
Phase: {PHASE}
Indicators: {MET}/{TOTAL}
EXIT_SIGNAL: {true/false}
Progress made:
- {PROGRESS_ITEM_1}
- {PROGRESS_ITEM_2}
Options:
1. [Extend] - Add 3 more iterations
2. [Complete] - Accept current state as done
3. [Abort] - Exit without completion
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Step 7: Complete Loop
When exit conditions met, display completion:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LOOP COMPLETE
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Task: {TASK_DESCRIPTION}
Iterations: {FINAL_COUNT}/{MAX}
Final Phase: COMPLETE
Completion Indicators:
[x] Code changes committed
[x] Tests passing
[x] Code simplified
[x] Documentation updated
[ ] Ticket closed (skipped - no PM tool)
[x] Marker created
Exit Conditions:
Heuristics: 4/5 (passed)
EXIT_SIGNAL: true (passed)
Summary:
- {KEY_CHANGE_1}
- {KEY_CHANGE_2}
- {KEY_CHANGE_3}
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Execute autonomous completion protocol:
- Commit changes (if not already)
- Archive task documentation
- Close ticket (if PM configured)
- Create completion marker (with loop state)
- Suggest compact
Setting EXIT_SIGNAL
The EXIT_SIGNAL is set explicitly by Claude when:
- All primary task requirements are met
- Code is functional and tested
- No obvious remaining work
How to signal completion:
I've completed the implementation. All requirements met.
EXIT_SIGNAL: true
This explicit declaration prevents premature exits when heuristics are met but work remains.
Phase Detection
Phases auto-detected based on context:
def detect_phase(context):
# COMPLETE: Exit conditions met
if indicators_met >= 4 and exit_signal:
return "COMPLETE"
# VERIFY: Tests running or recently run
if context.tests_running or context.test_exit_code is not None:
return "VERIFY"
# IMPL: Files being modified
if context.files_changed:
return "IMPL"
# RESEARCH: Reading files, searching
if context.files_read and not context.files_changed:
return "RESEARCH"
# INIT: Default starting state
return "INIT"
Integration with Navigator
With Autonomous Completion
Loop mode enhances (not replaces) the autonomous protocol:
- Completion indicators map to autonomous steps
- EXIT_SIGNAL triggers autonomous completion
- Marker includes loop state for restoration
With nav-simplify (v5.4.0+)
Simplification runs during VERIFY phase:
- After tests pass, before committing
- Configurable via
simplification.enabledin .nav-config.json - Adds
code_simplifiedcompletion indicator - Skip if no code changes (docs-only tasks)
With nav-diagnose
Stagnation triggers nav-diagnose quality check:
- 3 same-state loops = potential quality issue
- nav-diagnose helps identify root cause
- Re-anchoring can resolve stuck loops
With nav-marker
Markers capture loop state:
- Current iteration and max
- Phase at time of marker
- State hash for continuity
- Completion indicators status
With ToM Features
Loop mode respects ToM configuration:
- Verification checkpoints still apply in VERIFY phase
- Profile preferences affect communication style
- Belief anchors can help clarify stuck states
Predefined Functions
functions/status_generator.py
Generates formatted NAVIGATOR_STATUS block.
functions/exit_gate.py
Evaluates dual-condition exit (heuristics + explicit signal).
functions/stagnation_detector.py
Calculates state hash and detects consecutive same-states.
functions/phase_detector.py
Auto-detects current task phase from context.
Error Handling
Config not found:
Loop mode config not found in .nav-config.json.
Using defaults: max_iterations=5, stagnation_threshold=3
Function execution fails:
- Fall back to manual evaluation
- Log error but don't interrupt loop
- Continue with best-effort phase detection
User aborts mid-loop:
- Create partial completion marker
- Document progress made
- List remaining work
Success Criteria
Loop mode succeeds when:
- Task completes within max_iterations
- No stagnation pauses (or resolved quickly)
- EXIT_SIGNAL + heuristics both satisfied
- Completion marker includes loop state
- User sees clear progress each iteration
Examples
Example 1: Simple Feature
User: "Run until done: add isPrime function with tests"
Iteration 1 (INIT → RESEARCH):
- Read existing math utils
- Found test patterns
Iteration 2 (IMPL):
- Created isPrime function
- Created test file
Iteration 3 (VERIFY):
- Ran tests: PASS
- Committed changes
EXIT_SIGNAL: true
→ Loop complete in 3 iterations
Example 2: Stagnation Recovery
User: "Run until done: fix authentication bug"
Iteration 1-3 (IMPL):
- Same changes attempted
- Tests still failing
- State hash unchanged
→ STAGNATION DETECTED
User: "The test needs a mock for the auth service"
Iteration 4 (IMPL):
- Added mock
- Tests pass
EXIT_SIGNAL: true
→ Loop complete in 4 iterations
Limitations
Cannot handle:
- External blockers (waiting for API, permissions)
- Subjective completion criteria ("make it look nice")
- Tasks requiring human judgment mid-loop
Should not use for:
- Quick fixes (single iteration sufficient)
- Exploratory work (no clear completion state)
- Tasks with security implications (need human review)
This skill provides Ralph-style "run until done" capability while maintaining Navigator's context efficiency and ToM integration.
Score
Total Score
Based on repository quality metrics
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