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skill-iterative-loop

Imported from https://github.com/nyldn/claude-octopus.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
1,584
Hot score
99
Updated
March 20, 2026
Overall rating
C4.0
Composite score
4.0
Best-practice grade
F36.0

Install command

npx @skill-hub/cli install nyldn-claude-octopus-skill-iterative-loop

Repository

nyldn/claude-octopus

Skill path: skills/skill-iterative-loop

Imported from https://github.com/nyldn/claude-octopus.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: everyone.

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: nyldn.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install skill-iterative-loop into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/nyldn/claude-octopus before adding skill-iterative-loop to shared team environments
  • Use skill-iterative-loop for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.

Original source / Raw SKILL.md

---
name: skill-iterative-loop
version: 1.0.0
description: Execute tasks in loops with conditions until goals are met. Use when: AUTOMATICALLY ACTIVATE when user requests iterative execution:. "loop X times" or "loop around N times". "loop around 5 times auditing, enhancing, testing"
---

# Iterative Loop Execution

## Overview

Systematic iterative execution with clear goals, exit conditions, and progress tracking.

**Core principle:** Define goal → Set max iterations → Execute → Evaluate → Loop or complete.

---

## When to Use

**Use this skill when user wants to:**
- Execute a task multiple times with refinements
- Loop until a condition is met
- Iteratively improve something (code, tests, performance)
- Retry operations with modifications
- Progressive enhancement in rounds

**Do NOT use for:**
- Single execution ("run tests once")
- Manual step-by-step work
- Infinite loops without bounds
- Simple retry logic (use skill-debug)

---

## The Process

### Phase 1: Loop Setup

#### Step 1: Understand the Intent

```markdown
**Loop Intent:**

Goal: [what should be achieved]
Success criteria: [how do we know we're done]
Max iterations: [safety limit]
Per-iteration tasks: [what to do each loop]
```

#### Step 2: Clarify Parameters

Use AskUserQuestion if unclear:

- **Max iterations:** How many times maximum?
- **Success condition:** What indicates we can stop early?
- **Per-iteration actions:** What exactly to do each round?
- **Failure handling:** What if it never succeeds?

#### Step 3: Safety Checks

```markdown
**Safety Validation:**

- [ ] Max iterations defined (no infinite loops)
- [ ] Success condition is measurable
- [ ] Each iteration makes progress
- [ ] Failure exit strategy exists
- [ ] User aware of potential duration
```

**Never proceed without max iterations defined.**

---

### Phase 2: Loop Execution

#### Step 1: Initialize Loop

```markdown
**Starting Iterative Loop**

Goal: [description]
Max iterations: [N]
Success criteria: [condition]

---

### Iteration 1 / [N]
```

#### Step 2: Execute Iteration

For each iteration:

```markdown
**Iteration [current] / [max]**

**Actions:**
1. [Action 1]
   → [result/output]
2. [Action 2]
   → [result/output]
3. [Action 3]
   → [result/output]

**Evaluation:**
- Success criteria met? [Yes/No]
- Progress made? [Yes/No]
- Issues found: [list any issues]

**Status:** [Continue/Success/Need intervention]

---
```

#### Step 3: Progress Tracking

Use TodoWrite to track iterations:

```
Iteration Progress:
✓ Iteration 1 - [what was done]
✓ Iteration 2 - [what was done]
⚙️ Iteration 3 - [in progress]
- Iteration 4 - [pending]
- Iteration 5 - [pending]
```

---

### Phase 3: Exit Conditions

#### Exit Condition 1: Success

```markdown
🎉 **Success! Loop complete.**

**Goal achieved:** [description]
**Iterations used:** [N] / [max]

**Final state:**
[description of what was achieved]

**Summary of iterations:**
1. Iteration 1: [what happened]
2. Iteration 2: [what happened]
...
N. Iteration N: [what happened] ✓ Success
```

#### Exit Condition 2: Max Iterations Reached

```markdown
⚠️ **Max iterations reached without full success**

**Iterations completed:** [max]
**Goal:** [description]
**Current state:** [how close we got]

**Progress made:**
- [Improvement 1]
- [Improvement 2]
- [Improvement 3]

**Remaining issues:**
- [Issue 1]
- [Issue 2]

**Options:**
1. Accept current state (substantial progress made)
2. Continue with [N] more iterations
3. Change approach (current method may not work)

What would you like to do?
```

#### Exit Condition 3: No Progress Detected

```markdown
🛑 **Stopping early: No progress detected**

**Iteration:** [N] / [max]
**Reason:** Last [M] iterations showed no improvement

**Analysis:**
This suggests the current approach may be fundamentally flawed.

**Recommendation:**
Rather than continue looping, let's:
1. Analyze why no progress is being made
2. Consider alternative approaches
3. Re-evaluate the goal or success criteria

Shall we pause and reassess?
```

---

## Common Patterns

### Pattern 1: Loop with Testing

```
User: "Loop around 5 times auditing, enhancing, testing, until it's done"

Implementation:

**Loop Goal:** Code passes all quality gates
**Max Iterations:** 5
**Per-iteration:**
1. Audit code for issues
2. Enhance/fix identified issues
3. Run tests
4. Check if all pass

**Success:** All tests pass + no issues found

Execute:
Iteration 1:
- Audit → Found 8 issues
- Fix → Fixed 8 issues
- Test → 2 tests still failing
- Continue

Iteration 2:
- Audit → Found 2 new issues from fixes
- Fix → Fixed 2 issues
- Test → All tests pass ✓
- Success! Stopping early (2/5 iterations used)
```

### Pattern 2: Performance Optimization Loop

```
User: "Keep trying optimizations until we hit < 100ms response time"

Implementation:

**Loop Goal:** Response time < 100ms
**Max Iterations:** 10
**Per-iteration:**
1. Measure current performance
2. Identify bottleneck
3. Apply optimization
4. Re-measure

**Success:** Response time < 100ms

Execute:
Iteration 1: 450ms → Cache database queries → 280ms (Continue)
Iteration 2: 280ms → Add index to frequent query → 150ms (Continue)
Iteration 3: 150ms → Implement response compression → 85ms (Success!)
```

### Pattern 3: Retry with Backoff

```
User: "Try deploying, retry up to 3 times if it fails"

Implementation:

**Loop Goal:** Successful deployment
**Max Iterations:** 3
**Per-iteration:**
1. Attempt deployment
2. Check status
3. If failed, wait before retry

**Success:** Deployment succeeds

Execute:
Iteration 1: Deploy → Failed (API timeout) → Wait 10s
Iteration 2: Deploy → Failed (API timeout) → Wait 20s
Iteration 3: Deploy → Success ✓
```

### Pattern 4: Incremental Refinement

```
User: "Iterate 4 times improving the error messages based on user feedback"

Implementation:

**Loop Goal:** Error messages meet clarity standard
**Max Iterations:** 4
**Per-iteration:**
1. Review current error messages
2. Identify confusing ones
3. Rewrite for clarity
4. Evaluate against criteria

**Success:** All messages rated 8+/10 for clarity

Execute each iteration with progressive improvement
```

---

## Integration with Other Skills

### With skill-debug

```
Loop for debugging:
"Keep debugging until all tests pass, max 5 tries"

Each iteration:
- Use skill-debug to investigate failure
- Apply fix
- Re-run tests
- Evaluate
```

### With skill-audit

```
Loop for comprehensive checking:
"Loop 3 times auditing different aspects"

Iteration 1: Audit security
Iteration 2: Audit performance
Iteration 3: Audit accessibility
```

### With skill-tdd

```
Loop for TDD cycles:
"Do 5 red-green-refactor cycles"

Each iteration:
- Write failing test (red)
- Make it pass (green)
- Refactor (refactor)
- Evaluate and continue
```

---

## Best Practices

### 1. Always Define Max Iterations

**Good:**
```
Loop max 5 times trying to fix the issue
```

**Dangerous:**
```
Keep trying until it works
(What if it never works? Infinite loop!)
```

### 2. Measurable Success Criteria

**Good:**
```
Success: All 15 tests pass AND code coverage > 80%
```

**Poor:**
```
Success: Code looks better
(Too subjective)
```

### 3. Make Progress Visible

```
**Progress Tracking:**

Iteration 1: 5/15 tests passing
Iteration 2: 10/15 tests passing
Iteration 3: 13/15 tests passing
Iteration 4: 15/15 tests passing ✓
```

### 4. Early Exit on Success

Don't continue looping if goal is achieved:

```
**Iteration 2/5:** All tests pass!

Stopping early - goal achieved.
No need to continue to iteration 3.
```

### 5. Detect Stalls

```
Iteration 4: 10/15 tests passing
Iteration 5: 10/15 tests passing
Iteration 6: 10/15 tests passing

⚠️ No progress in 3 iterations - stopping to reassess approach
```

---

## Red Flags - Don't Do This

| Action | Why It's Dangerous |
|--------|-------------------|
| No max iterations | Could loop forever |
| Vague success criteria | Don't know when to stop |
| No progress tracking | Can't tell if making progress |
| Ignoring stalls | Waste time on ineffective approach |
| Same action each loop | If not working, need different approach |

---

## Safety Mechanisms

### 1. Iteration Limit

```python
MAX_ITERATIONS = user_specified or 10  # Always have a limit
```

### 2. Progress Detection

```
If last 3 iterations show same result:
  → Stop and ask user
```

### 3. Time Limit (for long operations)

```
If total time > 30 minutes:
  → Checkpoint progress
  → Ask user if should continue
```

### 4. User Checkpoints

```
Every N iterations:
  → Show progress
  → Ask if should continue or adjust approach
```

---

## Quick Reference

| Pattern | Max Iterations | Success Criteria | Early Exit |
|---------|---------------|------------------|------------|
| Test until pass | 5-10 | All tests pass | Yes |
| Performance optimization | 10-20 | Metric < target | Yes |
| Retry with backoff | 3-5 | Operation succeeds | Yes |
| Incremental refinement | 3-7 | Quality threshold met | Maybe |
| Comprehensive audit | 3-5 | All areas covered | No |

---

## The Bottom Line

```
Iterative loop → Clear goal + Max iterations + Progress tracking + Exit strategy
Otherwise → Infinite loops + Wasted effort + Unclear when done
```

**Define the goal. Set the limit. Track progress. Know when to stop.**
skill-iterative-loop | SkillHub