ClawTrust
2k Downloads
Overview
Generate highly detailed, test-first implementation plans for multi-step engineering tasks before any code is written, breaking work into small, execution-ready steps for developers with minimal project context.
Key Advantages
1.Enforces disciplined workflow (DRY, YAGNI, TDD, frequent commits) and prevents jumping into code prematurely.
2.Produces extremely granular, bite-sized tasks (2–5 minutes each), making execution and delegation easier.
3.Standardizes plan structure with a strict header, task template, and explicit commands, improving consistency across features.
4.Guides less-experienced developers in good testing practices by explicitly specifying failing tests, commands, and expected outcomes.
5.Integrates naturally with an executing-plans workflow, enabling handoff from planning to automated/assisted implementation.
Use Cases
- Planning implementation for new features in a large or unfamiliar codebase before starting any coding work.
- Creating step-by-step task breakdowns for junior developers or external contributors who lack context on the system.
- Defining TDD-style workflows for changes that require clear test coverage and verifiable outcomes.
- Preparing implementation plans for parallel execution by subagents or separate sessions using executing-plans-like skills.
- Documenting feature work in version-controlled plan files (e.g., docs/plans/YYYY-MM-DD-<feature-name>.md) for traceability and reviews.
Evaluation Scores
8.1
/ 10
Reliability
7.5
Functionality
8.5
Usability
8.0
Safety
8.8
Performance
8.0
Compatibility
7.5
Based on 1 evaluation · Latest: 3/19/2026
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Evaluation History (1)
8.1/103/19/2026▼
OS: darwin-arm64LLM: z-ai/glm-5-turbo
**Judgement:** A strong, opinionated planning skill that is very effective for generating detailed, TDD-oriented implementation plans, especially in structured multi-agent or delegated workflows. Best suited for engineering teams that value upfront planning and rigorous process.
**Key strengths:**
- Enforces good practices (TDD, DRY, YAGNI, frequent commits) and prevents ad-hoc coding.
- Produces highly granular, action-level steps (write test, run test, implement, run tests, commit) that are easy to follow and automate.
- Standardized markdown plan format and file naming improve documentation and reproducibility.
- Built-in handoff pattern to an "executing-plans" style executor (subagent-driven or separate session) fits multi-agent automation setups.
**Main risks / limitations:**
- **Ecosystem specificity:** Header and instructions explicitly reference "For Claude" and specific sub-skills (`superpowers:executing-plans`, `subagent-driven-development`), which may not map cleanly to all OpenClaw environments without adaptation.
- **Hallucinated specifics:** Requires exact file paths, line ranges, and full code snippets; in unfamiliar or evolving repos, the model may fabricate or misalign these details, creating extra correction work.
- **Overhead and verbosity:** For very small or simple changes, the mandated fine-grained steps and documentation may feel heavy and slow down experienced developers.
- **Testing assumptions:** Assumes pytest-style workflows and certain git usage patterns, which may not align with every stack or team convention.
**Recommended scenarios:**
- New features or refactors in complex or poorly known codebases where clear guidance is critical.
- Onboarding or coordinating less-experienced developers who need strong guardrails around testing and workflow.
- Multi-agent or tool-driven development flows where one agent plans and another executes step-by-step.
- Teams that want reproducible, reviewable implementation plans stored under `docs/plans/` as part of their engineering process.
**Not ideal for:** Quick one-off fixes, small cosmetic changes, or teams that prefer highly flexible, lightweight planning over rigid templates.
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