Autonomous Agentic Loop Skill Creator

Create task-specific skills that enable Claude Code to run autonomously for hours, persisting state across context windows and recovering from failures gracefully.

Core Concept

The Ralph Wiggum Loop externalizes agent memory to the filesystem. A bash while loop continuously invokes Claude Code with the same prompt. Progress persists in files and git — not in the context window. When context fills, a fresh instance continues by reading filesystem state.

code

┌─────────────────────────────────────────────────────────┐
│                    OUTER LOOP (bash)                    │
│  while true; do claude --print "$PROMPT"; done          │
└─────────────────────────────────────────────────────────┘
         │                                    ▲
         ▼                                    │
┌─────────────────────────────────────────────────────────┐
│              CLAUDE CODE SESSION                        │
│  1. Read state files (feature_list.json, progress.txt)  │
│  2. Pick ONE task                                       │
│  3. Implement → Test → Verify                           │
│  4. Update state files                                  │
│  5. Git commit                                          │
│  6. Exit (Stop hook validates completion)               │
└─────────────────────────────────────────────────────────┘
         │                                    ▲
         ▼                                    │
┌─────────────────────────────────────────────────────────┐
│                 PERSISTENT STATE                        │
│  • feature_list.json  - Task tracking (pass/fail)       │
│  • progress.txt       - Session handoff notes           │
│  • .claude/hooks/     - Validation & control            │
│  • Git history        - Rollback capability             │
└─────────────────────────────────────────────────────────┘

Creating a Task-Specific Loop Skill

Step 1: Define the Goal Structure

Determine what "done" means for your autonomous task:

Goal Type	State File Format	Example
Feature list	JSON with `passes: boolean`	Building an app feature-by-feature
Checklist	Markdown with `- [x]` items	Migration or refactoring tasks
Test suite	JSON with test results	Test-driven development
Spec compliance	JSON with requirement IDs	Implementing a specification

Step 2: Design State Files

Create state files that survive context boundaries. Use JSON for structured data (prevents accidental description edits):

json

// feature_list.json - The agent can ONLY change "passes" field
{
  "features": [
    {"id": "auth-001", "name": "User login", "passes": false},
    {"id": "auth-002", "name": "Password reset", "passes": false}
  ]
}

text

# progress.txt - Human-readable session notes
## Last Session: 2025-02-04 14:30
- Completed: auth-001 (user login)
- Current: auth-002 (password reset) - blocked on email service
- Next: auth-003 (session management)
- Constraints: Using bcrypt, no plaintext passwords

Step 3: Configure Hooks

Hooks control agent behavior at lifecycle points. See references/hooks-reference.md for complete patterns.

Essential hooks for autonomous loops:

•Stop hook - Prevents premature exit until completion criteria met
•PostToolUse hook - Auto-format, auto-test after edits
•PreToolUse hook - Block dangerous operations

Minimal Stop hook for feature-list validation:

json

{
  "hooks": {
    "Stop": [{
      "matcher": "",
      "hooks": [{
        "type": "command",
        "command": "python3 scripts/validate_completion.py"
      }]
    }]
  }
}

Step 4: Create the Loop Script

bash

#!/bin/bash
# run_loop.sh - The outer autonomous loop

PROMPT=$(cat <<'EOF'
Read feature_list.json and progress.txt.
Pick ONE incomplete feature (passes: false).
Implement it fully with tests.
Run tests to verify.
Only mark passes: true after ALL tests pass.
Update progress.txt with session notes.
Commit with descriptive message.
EOF
)

# Safety limits
MAX_ITERATIONS=50
ITERATION=0

while [ $ITERATION -lt $MAX_ITERATIONS ]; do
    echo "=== Iteration $ITERATION ==="

    # Check if all features complete
    if python3 -c "import json; f=json.load(open('feature_list.json')); exit(0 if all(x['passes'] for x in f['features']) else 1)"; then
        echo "All features complete!"
        exit 0
    fi

    # Run Claude Code
    claude --print --dangerously-skip-permissions "$PROMPT"
    EXIT_CODE=$?

    if [ $EXIT_CODE -ne 0 ]; then
        echo "Claude exited with error: $EXIT_CODE"
    fi

    ITERATION=$((ITERATION + 1))
done

echo "Reached max iterations"

Step 5: Implement Validation Scripts

python

#!/usr/bin/env python3
"""Stop hook validator - blocks exit until criteria met."""

import json
import subprocess
import sys

def check_tests_pass():
    """Run test suite, return True if all pass."""
    result = subprocess.run(
        ["npm", "test", "--", "--passWithNoTests"],
        capture_output=True, text=True
    )
    return result.returncode == 0

def check_feature_verified():
    """Ensure recently modified feature was tested."""
    with open("feature_list.json") as f:
        features = json.load(f)["features"]

    passing = [f for f in features if f["passes"]]
    if not passing:
        return True  # No claims to verify yet

    latest = passing[-1]
    # Add your verification logic here
    return True

def main():
    result = {"decision": "allow"}

    if not check_tests_pass():
        result = {
            "decision": "block",
            "reason": "Tests failing. Fix before continuing."
        }
    elif not check_feature_verified():
        result = {
            "decision": "block",
            "reason": "Feature marked passing but not verified."
        }

    print(json.dumps(result))
    return 0 if result["decision"] == "allow" else 2

if __name__ == "__main__":
    sys.exit(main())

Skill Structure for Your Task

When creating a task-specific loop skill, organize as:

code

my-loop-skill/
├── SKILL.md              # Task-specific instructions
├── scripts/
│   ├── run_loop.sh       # Outer loop script
│   ├── validate_completion.py
│   └── circuit_breaker.py
├── references/
│   └── task-details.md   # Domain-specific guidance
└── assets/
    └── templates/
        ├── feature_list.json
        ├── progress.txt
        └── hooks.json

Critical Patterns

Preventing Failure Modes

Failure Mode	Symptom	Prevention
Amnesia Loop	Same file researched repeatedly	Track visited files in progress.txt
Premature Completion	"Done!" without verification	Stop hook validates all tests pass
Context Rot	Degraded reasoning after compaction	Clear context every 30 min or at 70%
Token Burn	$100+ on impossible task	MAX_ITERATIONS limit in loop script

The Initializer Pattern

For complex projects, use two-phase approach:

•
Initializer session (run once):
- •Create feature_list.json with all requirements
- •Write init.sh for dev server setup
- •Create initial progress.txt
- •Make baseline git commit
•
Coding sessions (run in loop):
- •Read state files
- •Work on ONE feature
- •Verify before marking complete
- •Commit and update notes

Circuit Breaker Implementation

See references/loop-prevention.md for complete patterns.

python

# circuit_breaker.py - Detect stagnation
STAGNATION_SIGNALS = {
    "no_file_changes": 3,      # consecutive loops
    "same_error": 5,           # consecutive occurrences
    "output_decrease": 0.7,    # 70% drop from previous
}

CLAUDE.md Configuration

Keep under 300 lines. Include only:

markdown

# Project: [Name]

## Tech Stack
- [List technologies]

## Commands
- Build: `npm run build`
- Test: `npm test`
- Lint: `npm run lint`

## Autonomous Loop Protocol
1. Read feature_list.json and progress.txt first
2. Work on ONE feature per session
3. Run tests before marking complete
4. Update progress.txt before exiting
5. Commit with format: `feat(scope): description`

## IMPORTANT
- Never mark passes: true without verified tests
- If stuck for 3 attempts, document blocker and move on
- Check progress.txt for constraints from previous sessions

Quick Reference

Component	Purpose	Location
Loop script	Outer while loop	`scripts/run_loop.sh`
Stop hook	Prevent premature exit	`.claude/hooks.json`
Feature list	Track progress	`feature_list.json`
Progress notes	Session handoff	`progress.txt`
Circuit breaker	Detect stagnation	`scripts/circuit_breaker.py`

Additional References

•Hooks Reference - Complete hook patterns
•CLAUDE.md Patterns - Configuration best practices
•MCP Patterns - Tool integration strategies
•Loop Prevention - Circuit breakers and recovery

Initialization

Use the initialization script to scaffold a new task-specific loop skill:

bash

python3 scripts/init_loop_skill.py <skill-name> --goal-type feature-list

Options for --goal-type: feature-list, checklist, test-suite, spec-compliance