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harrylabsj

Goal Chunking Helper

by haidong · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
83
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0
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1
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Install in OpenClaw
/install goal-chunking-helper
Description
Helps break a big goal into clear milestones, next actions, dependencies, and a review checkpoint for actionable progress and reduced overwhelm.
README (SKILL.md)

Goal Chunking Helper / 目标拆解帮手

Use this skill when a user has a meaningful goal but cannot see the next concrete move.

What it helps with

  • Turning a large outcome into a smaller, usable path
  • Breaking the goal into milestones, phases, or sub-results
  • Separating planning actions from execution actions
  • Surfacing dependencies before they turn into delays
  • Ending with the next three executable steps and a review checkpoint

Workflow

  1. Define the goal in outcome language and add a deadline or review horizon.
  2. Reverse-engineer the goal into milestones, phases, or sub-results.
  3. Identify dependencies, missing resources, and likely blockers.
  4. Convert the first milestone into very small action units.
  5. Separate planning work from real execution work.
  6. End with the next three executable steps and one checkpoint question.

Output format

# Goal Breakdown
## Goal Definition
- Goal:
- Why it matters:
- Time horizon:

## Milestone Ladder
1. ...
2. ...
3. ...

## Next Actions
- Action 1:
- Action 2:
- Action 3:

## Dependencies and Risks
- ...

## Review Checkpoint
- By [date], I will know progress if:

Quality bar

  • Every next action starts with a verb and is easy to begin.
  • The user can tell what to do today, not just what matters eventually.
  • Dependencies are visible before they cause delay.
  • The plan reduces overwhelm instead of creating a giant task list.

Limits

  • If the goal itself is unclear, the first task may be clarification rather than execution.
  • Some goals need nested decomposition, not just one layer of planning.
  • Unrealistic timelines should be challenged directly.
  • Descriptive planning only, with no project-management software integration.
Usage Guidance
This skill appears coherent and low-risk: it runs locally, parses the bundled SKILL.md, and formats a goal breakdown without network access or credential use. If you want extra assurance, review the bundled handler.py (it only uses stdlib modules and reads SKILL.md) and the SKILL.md content to confirm the behavior matches your expectations. Be aware the skill will echo any sensitive text you provide into the generated plan, so avoid pasting secrets or private data into the goal text.
Capability Analysis
Type: OpenClaw Skill Name: goal-chunking-helper Version: 1.0.0 The goal-chunking-helper skill is a text-processing tool designed to break down user goals into actionable milestones. The handler.py script performs local string manipulation and keyword matching to generate a structured Markdown response, with no network access, file system modifications (other than reading its own SKILL.md), or execution of untrusted code. The SKILL.md file contains standard instructions for the AI agent without any evidence of prompt injection or malicious directives.
Capability Assessment
Purpose & Capability
Name/description (goal chunking) match the code and SKILL.md: the handler produces milestone/action/dependency suggestions. There are no unrelated requirements (no cloud creds, no extra binaries).
Instruction Scope
SKILL.md restricts itself to decomposing goals and explicitly says no integrations. The runtime handler only reads SKILL.md (local) and the provided inputs; it does not reference system files, environment secrets, or external endpoints.
Install Mechanism
No install spec is provided and the skill is instruction/code-only. Nothing is downloaded or written to unexpected locations.
Credentials
The skill requires no environment variables, credentials, or config paths. The code does not access os.environ for secrets or attempt to load other configuration.
Persistence & Privilege
always is false and the skill does not request permanent presence or modify other skills or system settings. It only reads its own SKILL.md file.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install goal-chunking-helper
  3. After installation, invoke the skill by name or use /goal-chunking-helper
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Goal-chunking-helper 1.0.0 initial release - Breaks down vague or overwhelming goals into clear milestones, tiny next actions, dependencies, and checkpoints. - Provides a step-by-step workflow and markdown output format for structured goal planning. - Helps surface dependencies and risks early to avoid delays. - Focuses on easy-to-start actions and reducing overwhelm. - Includes quality guidelines and limits for realistic, actionable plans.
Metadata
Slug goal-chunking-helper
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Goal Chunking Helper?

Helps break a big goal into clear milestones, next actions, dependencies, and a review checkpoint for actionable progress and reduced overwhelm. It is an AI Agent Skill for Claude Code / OpenClaw, with 83 downloads so far.

How do I install Goal Chunking Helper?

Run "/install goal-chunking-helper" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Goal Chunking Helper free?

Yes, Goal Chunking Helper is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Goal Chunking Helper support?

Goal Chunking Helper is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Goal Chunking Helper?

It is built and maintained by haidong (@harrylabsj); the current version is v1.0.0.

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