iterative-retrieval

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work.

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Best use case

iterative-retrieval is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work.

Teams using iterative-retrieval 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

$curl -o ~/.claude/skills/iterative-retrieval/SKILL.md --create-dirs "https://raw.githubusercontent.com/bradygaster/squad/main/packages/squad-cli/templates/skills/iterative-retrieval/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/iterative-retrieval/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How iterative-retrieval Compares

Feature / Agentiterative-retrievalStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Max-3-cycle protocol for agent sub-tasks with WHY context and coordinator validation. Use when spawning sub-agents to complete scoped work.

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.

SKILL.md Source

# Iterative Retrieval Skill

Squad agents frequently spawn sub-agents to complete scoped work. Without structure, these
handoffs become vague, cycles multiply, and outputs land without being checked. The
**Iterative Retrieval Pattern** caps cycles at 3, mandates WHY context in every spawn, and
requires the coordinator to validate agent output before closing an issue.

---

## Spawn Prompt Template

Every agent spawn must include the following four sections. Copy and fill in the template:

```
## Task
{What you need done — concrete and bounded}

## WHY this matters
{The motivation and context. What system or user goal does this serve? What breaks if skipped?}

## Success criteria
{How you will know the output is correct. Be explicit — list acceptance criteria, not vibes.}
Example:
- [ ] File X exists and contains Y
- [ ] No regressions in existing tests
- [ ] PR is open targeting main with description matching the issue

## Escalation path
{What the agent should do if uncertain or stuck. "Stop and ask me" is valid.}
Example:
- If requirements are ambiguous → stop, comment on the issue, set label status:needs-decision
- If blocked by a dependency → label status:blocked, explain in a comment
- If 3 cycles exhausted without resolution → write a summary to inbox and surface to coordinator
```

---

## 3-Cycle Protocol

| Cycle | Description | Exit condition |
|-------|-------------|----------------|
| **1** | Initial attempt | Done → coordinator validates. Incomplete → surface delta. |
| **2** | Targeted retry with specific corrections | Done → coordinator validates. Incomplete → one more. |
| **3** | Final attempt with all context from cycles 1–2 | Done or escalate — no cycle 4. |

### Rules

1. **After each cycle**, the coordinator evaluates the output against the success criteria
   before accepting it or spawning the next cycle.
2. **Objective context forward**: each subsequent spawn includes a summary of what was tried
   and what is still missing — not just a repeat of the original task.
3. **Cycle 3 exhausted** → escalate: write a summary to `.squad/decisions/inbox/`, label the
   issue `status:needs-decision`, and notify the user.

---

## Coordinator Validation Checklist

Before accepting agent output and closing an issue, the coordinator must check:

- [ ] All success criteria from the spawn prompt are met
- [ ] PR exists and description matches the issue (if code work)
- [ ] No obvious regressions (grep for TODO/FIXME introduced, build passes)
- [ ] Agent did not silently skip parts of the task
- [ ] If the agent reported uncertainty — was it resolved or escalated?

If any item fails → do **not** accept. Spawn cycle N+1 (up to cycle 3) with specific deltas.

---

## When to Escalate vs Retry

**Retry (cycle N+1)** when:
- Output is structurally correct but missing specific items
- Agent misunderstood scope (provide more context and re-run)
- Partial success — clearly identified remaining delta

**Escalate** when:
- Requirements are fundamentally unclear (decision needed)
- 3 cycles complete without convergence
- Agent returned conflicting results across cycles
- Task requires elevated permissions or external action
- The work depends on another issue that isn't done yet

---

## Issue Dedup Check (Mandatory)

Before any agent creates a GitHub issue, it **must** search for existing open issues to avoid
duplicates.

```bash
# Check for existing open issues before creating a new one
gh issue list --search "<keywords from your issue title>" --state open
```

- If an open issue already covers the same problem → **comment on it** instead of creating a new one.
- If no duplicate → proceed to create the issue.
- Use 2–3 representative keywords from the planned issue title as the search query.

---

## Mandatory Output Requirement (Research-Then-Execute)

Every research or analysis task completed under this protocol **MUST** end with at least one
concrete action before the cycle is closed. Acceptable follow-up actions:

- GitHub issue created documenting the findings and next steps
- PR opened implementing a recommendation
- Decision recorded in `.squad/decisions/inbox/`
- Documented recommendation with a named assignee and due date

**Pure analysis reports without actionable follow-up will be rejected during triage.**
If no action is warranted, the agent must explicitly state why and get coordinator sign-off.

---

## Anti-Patterns

- **Spawning without WHY** — agents can't prioritise trade-offs without motivation context.
- **Accepting output without validating** — one failed check avoids merging broken work.
- **Cycle 4+** — if 3 cycles haven't converged, the problem is in the requirements, not the agent.
- **Vague success criteria** — "looks good" is not a criterion. Use checkboxes.
- **Forwarding WHAT without delta** — cycle 2+ prompts must include what cycle 1 got wrong.
- **Creating issues without dedup check** — always search before creating.
- **Research without action** — delivering analysis with no issue, PR, decision, or assignee is incomplete work.

---

## Examples

### Good spawn prompt
```
## Task
Add an "Iterative Retrieval Protocol" section to `.squad/agents/coordinator/charter.md` explaining
the 3-cycle rule, WHY format, and validation checklist.

## WHY this matters
The coordinator spawns sub-agents on every round. Without a documented protocol, agents run unbounded
cycles and outputs go unvalidated — leading to stale issues and silent failures.

## Success criteria
- [ ] Section "Iterative Retrieval Protocol" exists in charter.md
- [ ] Section documents max-3-cycles rule
- [ ] Section documents WHY format requirement
- [ ] Section contains validation checklist (at least 4 items)
- [ ] No other sections of charter.md are modified

## Escalation path
If the charter.md format is unclear, check another agent charter as a reference.
If uncertain about content, stop and surface to coordinator.
```

### Bad spawn prompt (don't do this)
```
Update the coordinator charter with the iterative retrieval stuff.
```