autonomous-loops
Six proven autonomous agent loop patterns with guard rails. Provides reusable patterns for generate->validate->fix, explore->hypothesize->test, and other autonomous workflows. Includes the reviewer-never-authored principle for quality assurance. Use when: (1) Building autonomous agent workflows, (2) Designing self-correcting pipelines, (3) Implementing agent retry/fix loops, (4) Setting up multi-agent review processes, (5) User asks about agent loop patterns.
Best use case
autonomous-loops is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Six proven autonomous agent loop patterns with guard rails. Provides reusable patterns for generate->validate->fix, explore->hypothesize->test, and other autonomous workflows. Includes the reviewer-never-authored principle for quality assurance. Use when: (1) Building autonomous agent workflows, (2) Designing self-correcting pipelines, (3) Implementing agent retry/fix loops, (4) Setting up multi-agent review processes, (5) User asks about agent loop patterns.
Teams using autonomous-loops should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/autonomous-loops/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How autonomous-loops Compares
| Feature / Agent | autonomous-loops | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Six proven autonomous agent loop patterns with guard rails. Provides reusable patterns for generate->validate->fix, explore->hypothesize->test, and other autonomous workflows. Includes the reviewer-never-authored principle for quality assurance. Use when: (1) Building autonomous agent workflows, (2) Designing self-correcting pipelines, (3) Implementing agent retry/fix loops, (4) Setting up multi-agent review processes, (5) User asks about agent loop patterns.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Autonomous Loop Patterns
## Core Principle: Reviewer Never Authored
**The agent that reviews work must never be the agent that authored it.**
This is the single most important principle for autonomous quality. Self-review is
unreliable -- the same blind spots that caused the error will miss it during review.
Implementation:
- Use a separate agent instance (different `subagent_type` or `name`) for review
- The reviewer receives only the output + acceptance criteria, not the generation prompt
- Reviewer can request changes but never edits directly -- sends feedback to the author
## Pattern 1: Generate -> Validate -> Fix
The most common autonomous loop. Generate output, validate against criteria, fix if needed.
```
+----------+ +----------+ +----------+
| Generate |---->| Validate |---->| Fix |--+
| | | | | | |
+----------+ +----+-----+ +----------+ |
| Pass |
v |
+----------+ |
| Accept |<-------------------+
+----------+ (max 3 iterations)
```
**When to use:** Code generation, document creation, configuration authoring
```python
MAX_ITERATIONS = 3
for iteration in range(MAX_ITERATIONS):
if iteration == 0:
output = generate(prompt, context)
else:
output = fix(output, validation_errors, context)
is_valid, errors = validate(output, acceptance_criteria)
if is_valid:
return accept(output)
return escalate_to_human(output, errors)
```
**Guard rails:**
- Hard cap on iterations (3 is typical, never exceed 5)
- Each iteration must reduce error count -- if errors increase, break
- Track token cost per iteration -- escalate if cost exceeds threshold
## Pattern 2: Explore -> Hypothesize -> Test
For debugging and investigation. Gather evidence, form theory, validate.
```
+----------+ +-------------+ +----------+
| Explore |---->| Hypothesize |---->| Test |--+
| (gather | | (form | | (verify | |
| evidence)| | theory) | | theory) | |
+----------+ +-------------+ +----+-----+ |
| Fail |
v |
+----------+ |
| Refine |--+
| hypothesis|
+----------+
```
**When to use:** Bug investigation, root cause analysis, codebase exploration
**Guard rails:**
- Track hypotheses tested to avoid circular reasoning
- Max 5 hypotheses before requesting human input
- Evidence must be concrete (file:line references, error messages)
## Pattern 3: Plan -> Execute -> Verify -> Adjust
For multi-step implementation tasks.
```
+----------+ +----------+ +----------+ +----------+
| Plan |---->| Execute |---->| Verify |---->| Adjust |--+
| (steps) | | (step N) | | (tests) | | (plan) | |
+----------+ +----------+ +----------+ +----------+ |
^ |
+------------------------------------------------------------+
```
**When to use:** Feature implementation, refactoring, migration tasks
**Guard rails:**
- Plan must be approved before execution starts
- Verify after EACH step, not just at the end
- Adjustment can only modify future steps, never rewrite completed ones
- If >50% of plan needs adjustment, re-plan from scratch
## Pattern 4: Diverge -> Converge -> Select
For creative or design tasks where multiple approaches are valid.
```
+------------+ +------------+ +----------+
| Diverge |---->| Converge |---->| Select |
| (generate | | (evaluate | | (pick |
| N options)| | trade-offs)| | best) |
+------------+ +------------+ +----------+
```
**When to use:** Architecture decisions, API design, UI alternatives
**Guard rails:**
- Generate minimum 3 options (avoids false dichotomies)
- Evaluation criteria defined BEFORE divergence (prevents bias)
- Selection must reference criteria -- no "gut feeling"
## Pattern 5: Seed -> Expand -> Prune
For building up content or code incrementally.
```
+----------+ +----------+ +----------+
| Seed |---->| Expand |---->| Prune |--+
| (minimal | | (add | | (remove | |
| version)| | features)| | bloat) | |
+----------+ +----------+ +----------+ |
^ |
+--------------------------+
(until scope complete)
```
**When to use:** MVP development, documentation, test suite building
**Guard rails:**
- Seed must be complete and working before expansion
- Each expansion adds ONE feature/section
- Prune after every 3 expansions
- Prune agent is separate from expand agent (reviewer-never-authored)
## Pattern 6: Observe -> Orient -> Decide -> Act (OODA)
For reactive, event-driven agent workflows.
```
+----------+ +----------+ +----------+ +----------+
| Observe |---->| Orient |---->| Decide |---->| Act |
| (monitor | | (analyze | | (choose | | (execute |
| events) | | context)| | action) | | action) |
+----------+ +----------+ +----------+ +----------+
^ |
+----------------------------------------------------+
```
**When to use:** Monitoring, incident response, CI/CD automation
**Guard rails:**
- Observation must be fresh (re-check state before acting)
- Orientation must include context from previous loops
- Decision must be logged for audit trail
- Action must be reversible or confirmed
## Applying Patterns
### Choosing the Right Pattern
| Task Type | Recommended Pattern |
|-----------|-------------------|
| Code generation / editing | Generate -> Validate -> Fix |
| Bug investigation | Explore -> Hypothesize -> Test |
| Feature implementation | Plan -> Execute -> Verify -> Adjust |
| Architecture / design | Diverge -> Converge -> Select |
| Incremental building | Seed -> Expand -> Prune |
| Monitoring / ops | OODA |
### Combining Patterns
Patterns can be nested. For example:
- **Plan -> Execute** where each Execute step uses **Generate -> Validate -> Fix**
- **Diverge -> Converge** where each option is built with **Seed -> Expand -> Prune**
- **OODA** where the Act phase uses **Plan -> Execute -> Verify -> Adjust**
### Universal Guard Rails
Apply these to ALL patterns:
1. **Max iterations**: Every loop has a hard cap (typically 3-5)
2. **Cost tracking**: Monitor token spend per iteration
3. **Progress check**: Each iteration must demonstrably advance toward the goal
4. **Escalation path**: Clear handoff to human when loop exhausts iterations
5. **Audit trail**: Log each iteration's input, output, and decisionRelated Skills
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