Agent skill

Plan Review

by YougLin-dev in YougLin-dev/Aha-Loop

Reviews and adjusts PRD plans based on research findings. An agent skill from YougLin-dev/Aha-Loop.

MITAuto-check passedProduct & Project Management

Install Plan Review

skills CLI
$ npx skills add YougLin-dev/Aha-Loop --skill plan-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install YougLin-dev/Aha-Loop plan-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/YougLin-dev/Aha-Loop.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/plan-review .claude/skills/plan-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
plan-review
GitHub stars
181
Token cost
~1.8k tokens
SKILL.md length
546 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Reviews and adjusts PRD plans based on research findings. An agent skill from YougLin-dev/Aha-Loop.

  • Works in 10 steps: Modify Existing Story → Add New Story → Split Story → …
  • Update prd based on research
  • SKILL.md covers The Job, When to Modify the Plan, Types of Plan Modifications and Plan Review Process, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Plan Review is an agent skill from YougLin-dev/Aha-Loop. Reviews and adjusts PRD plans based on research findings. Use after completing research to evaluate story modifications. Triggers on: review plan, adjust stories, update prd based on research.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Product & Project Management, covering PRD writing. The repository describes itself as: [MVP] Aha Loop is a fully autonomous AI development system, extended from the core ideas of Ralph. It's not just an execution engine, but a complete AI development framework with… The licence is MIT.

When your agent uses it

  • Update prd based on research
  • Tasks that involve PRD writing

Example prompts

  • “Use the plan-review skill to review and adjusts PRD plans based on research findings. An agent skill from YougLin-dev/Aha-Loop”
  • “/plan-review”

Workflow steps

10 steps, taken from the step headings in SKILL.md.

  1. Modify Existing Story
  2. Add New Story
  3. Split Story
  4. Reorder Stories
  5. Remove Story
  6. Read Research Report
  7. Evaluate Impact
  8. Draft Changes
  9. Update prd.json
  10. Normalize Priorities

What it can do on your machine

Read from SKILL.md and the folder at commit 8d799b2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json, javascript and markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Plan Review loads about 1.8k tokens when it runs. Until then it costs about 51 tokens; SKILL.md has 546 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~51
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from YougLin-dev/Aha-Loop at commit 8d799b2, republished under its MIT licence (© YougLin-dev). 546 words, ~1,812 tokens.

Download SKILL.mdSave it as .claude/skills/plan-review/SKILL.md (or your agent's skills folder).
name
plan-review
description
Reviews and adjusts PRD plans based on research findings. Use after completing research to evaluate story modifications. Triggers on: review plan, adjust stories, update prd based on research.

Plan Review Skill

Evaluate research findings and decide whether to adjust upcoming stories in the PRD.


The Job

  1. Read the research report for the current story
  2. Evaluate if findings impact the current or future stories
  3. Decide on plan modifications (if any)
  4. Update prd.json with changes
  5. Document all changes in changeLog
  6. Ensure plan remains coherent and achievable

When to Modify the Plan

MODIFY stories when research reveals:

  • A better technical approach than originally planned
  • Missing prerequisite steps
  • Stories that should be split (too large for one context)
  • Stories that can be combined (too small, tightly coupled)
  • Changed dependencies requiring reordering
  • New edge cases requiring additional acceptance criteria

DO NOT modify when:

  • The finding is interesting but doesn't affect implementation
  • Changes would invalidate already-completed stories
  • The modification is scope creep (outside original PRD goals)

Types of Plan Modifications

1. Modify Existing Story

Update acceptance criteria, description, or research topics.

json
{
  "timestamp": "2026-01-29T12:00:00Z",
  "storyId": "US-002",
  "action": "modified",
  "reason": "Research found that existing badge component supports priority colors, simplifying implementation",
  "changes": {
    "acceptanceCriteria": {
      "removed": ["Create new PriorityBadge component"],
      "added": ["Reuse Badge component with priority color variant"]
    }
  }
}
2. Add New Story

Insert a prerequisite or follow-up story.

json
{
  "timestamp": "2026-01-29T12:00:00Z",
  "storyId": "US-001.5",
  "action": "added",
  "reason": "Research revealed need for database index on priority column for filter performance",
  "insertAfter": "US-001"
}
3. Split Story

Break a story into smaller pieces.

json
{
  "timestamp": "2026-01-29T12:00:00Z",
  "storyId": "US-003",
  "action": "split",
  "reason": "Story too large - separating dropdown component from save logic",
  "splitInto": ["US-003a", "US-003b"]
}
4. Reorder Stories

Change priority/order based on new dependencies.

json
{
  "timestamp": "2026-01-29T12:00:00Z",
  "storyId": "US-004",
  "action": "reordered",
  "reason": "URL state management needed before filter implementation",
  "newPriority": 2,
  "previousPriority": 4
}
5. Remove Story

Mark a story as unnecessary (cannot remove completed stories).

json
{
  "timestamp": "2026-01-29T12:00:00Z",
  "storyId": "US-005",
  "action": "removed",
  "reason": "Research found this functionality already exists in the codebase"
}

Plan Review Process

Step 1: Read Research Report

Load the research report from scripts/aha-loop/research/[story-id]-research.md

Focus on:

  • Implementation recommendations
  • Alternatives comparison (if recommendation differs from plan)
  • Follow-up research needs
  • Gotchas discovered
Step 2: Evaluate Impact

For each finding, ask:

  1. Does this affect the current story?

    • Update acceptance criteria if needed
    • Add implementation notes
  2. Does this affect future stories?

    • Check if dependencies changed
    • Check if new prerequisites needed
    • Check if any stories can be simplified/removed
  3. Does this reveal scope issues?

    • Story too big? Split it.
    • Story too small? Combine with related story.
    • Missing stories? Add them.
Step 3: Draft Changes

Before modifying prd.json:

  1. List all proposed changes
  2. Verify no completed stories are affected
  3. Ensure changes maintain logical story order
  4. Check that all stories remain achievable in one context window
Show full SKILL.md (219 more words)Show less
Step 4: Update prd.json

Backup first (automatic via aha-loop.sh, but verify).

Apply changes to prd.json:

javascript
// Example: Adding a story
{
  "id": "US-001.5",
  "title": "Add database index for priority filtering",
  "description": "As a developer, I need an index on priority column for efficient filtering.",
  "acceptanceCriteria": [
    "Create index on tasks.priority column",
    "Migration runs without errors",
    "Typecheck passes"
  ],
  "priority": 1.5,  // Will be normalized later
  "passes": false,
  "researchTopics": [],
  "researchCompleted": true,  // No research needed for simple index
  "learnings": "",
  "implementationNotes": "Discovered during US-001 research that filter queries will need this index",
  "notes": ""
}

Add to changeLog:

javascript
{
  "changeLog": [
    // ... existing entries
    {
      "timestamp": "2026-01-29T12:00:00Z",
      "storyId": "US-001.5",
      "action": "added",
      "reason": "Research for US-001 revealed need for index to support efficient priority filtering (US-004)",
      "researchSource": "scripts/aha-loop/research/US-001-research.md"
    }
  ]
}
Step 5: Normalize Priorities

After modifications, ensure priorities are sequential:

javascript
// Before: [1, 1.5, 2, 3, 4]
// After:  [1, 2, 3, 4, 5]

Safety Rules

NEVER:
  • Delete or modify stories where passes: true
  • Add scope beyond original PRD goals
  • Create circular dependencies between stories
  • Make changes without documenting in changeLog
ALWAYS:
  • Document the reason for every change
  • Reference the research source
  • Maintain dependency order (schema → backend → UI)
  • Keep stories small enough for one context window

Review Report Template

After plan review, append to progress.txt:

markdown
## Plan Review - [Date/Time]

### Research Analyzed
- [Story ID]: [Research report path]

### Changes Made

**[Action Type]: [Story ID]**
- Reason: [Why this change was needed]
- Impact: [What this affects]

### No Changes Made (If Applicable)
- Research findings do not require plan modifications
- Reason: [Why no changes needed]

### Updated Story Order
1. US-001: [Title] ✓ (completed)
2. US-001.5: [Title] (new)
3. US-002: [Title]
...

---

Example: Complete Plan Review

Scenario: Research for US-001 (Add priority to database) revealed:

  1. An index is needed for filter performance
  2. The existing Badge component can be reused
  3. URL state management patterns already exist in codebase

Changes:

  1. Add US-001.5 - Create index on priority column

    • Reason: Filter queries (US-004) will be slow without index
  2. Modify US-002 - Update acceptance criteria

    • Remove: "Create PriorityBadge component"
    • Add: "Reuse Badge component with 'priority' variant prop"
  3. Modify US-004 - Add implementation note

    • Note: "Use existing useUrlState hook from src/hooks/"

No reordering needed - dependencies unchanged.


Checklist

Before completing plan review:

  • Research report fully analyzed
  • All impacted stories identified
  • No completed stories modified
  • Changes documented in changeLog
  • Priorities normalized
  • Dependencies still valid
  • All stories achievable in one context window
  • Review summary added to progress.txt

© YougLin-dev, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/plan-review of YougLin-dev/Aha-Loop.

Open the folder on GitHubat commit 8d799b2

Compare with similar skills

Plan Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Ralph Tui Create Beads Rustsubsy/ralph-tui2.5k1 repos~2.8kAutomated safety check: PassMIT

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Questions about Plan Review

What does Plan Review do?

Reviews and adjusts PRD plans based on research findings. An agent skill from YougLin-dev/Aha-Loop. Plan Review is an agent skill from YougLin-dev/Aha-Loop. Reviews and adjusts PRD plans based on research findings.

When should I use Plan Review?

Plan Review fits situations like: update prd based on research; tasks that involve PRD writing.

How do I install Plan Review in Claude Code?

Run `npx skills add YougLin-dev/Aha-Loop --skill plan-review -a claude-code`. Or copy the skill folder (.agents/skills/plan-review in YougLin-dev/Aha-Loop) into .claude/skills/plan-review in your project. Claude Code loads it when a task matches its description.

How do I install Plan Review in Codex?

Run `npx skills add YougLin-dev/Aha-Loop --skill plan-review -a codex`. Or copy the skill folder (.agents/skills/plan-review in YougLin-dev/Aha-Loop) into .agents/skills/plan-review in your project. Codex loads it when a task matches its description.

Can I use Plan Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add YougLin-dev/Aha-Loop --skill plan-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/plan-review, .gemini/skills/plan-review, .github/skills/plan-review and .opencode/skills/plan-review in your project.

What does Plan Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Plan Review is instructions for the agent only.

Does Plan Review access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Plan Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Plan Review use?

Plan Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Plan Review use?

About 1.8k tokens (SKILL.md is roughly 7.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Plan Review?

Skills that share tags, products or a category with Plan Review: CCPM Project Management (automazeio/ccpm, 8.4k stars), Ralph Tui Create Beads (subsy/ralph-tui, 2.5k stars), Trellis Brainstorm (anjiemo/SunnyBeach, 178 stars) and Adversarial Spec (zscole/adversarial-spec, 556 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Plan Review?

YougLin-dev (a GitHub user) maintains it in YougLin-dev/Aha-Loop, which has 181 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on February 3, 2026.

Source: YougLin-dev/Aha-Loop on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.