bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
Complete software development workflow enforcing design → plan → execution with checkpoints
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install brothaakhee/superclaw打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
Disciplined software development workflow for OpenClaw agents
Based on obra/superpowers by Jesse Vincent.
Superclaw prevents your agent from jumping straight into code. It enforces a three-phase workflow:
brainstorming/SKILL.md) — Design before codewriting-plans/SKILL.md) — Plan before implementationexecuting-plans/SKILL.md) — Batched execution with checkpointsAll three skills chain automatically when building software.
Triggers: When creating features, building components, adding functionality
Process:
workspace/docs/plans/YYYY-MM-DD-<topic>-design.md
Hard Gate: No code until design approved.
Triggers: When you have an approved design
Process:
workspace/docs/plans/YYYY-MM-DD-<topic>-plan.md
Key Feature: Questions, not mandates. Respects user preferences and time constraints.
Triggers: When you have an implementation plan
Process:
sessions_spawn for isolation)memory/YYYY-MM-DD.md with progress这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
A complete software development workflow for OpenClaw agents
Superclaw enforces discipline through three chained skills: design before code, plan before implementation, batched execution with checkpoints.
Based on obra/superpowers by Jesse Vincent, adapted for OpenClaw's personal assistant architecture.
Your agent doesn't just jump into code. It:
openclaw hub install superclaw
Skills auto-load when relevant tasks are detected.
brainstorming/SKILL.md)Enforces design-before-code
Example:
User: "Build a todo CLI"
Agent: [Asks questions about storage, features]
Agent: [Proposes 2-3 approaches with trade-offs]
Agent: [Presents design, gets approval]
Agent: [Saves design doc, invokes writing-plans]
writing-plans/SKILL.md)Enforces plan-before-implementation
Example:
Agent: "Should we use TDD (tests first) or direct implementation?"
User: "Direct implementation"
Agent: [Creates plan with 10 tasks, 2-5 min each]
Agent: [Saves plan doc, invok...
# Superclaw ⚔️
**Disciplined software development workflow for OpenClaw agents**
Based on [obra/superpowers](https://github.com/obra/superpowers) by Jesse Vincent.
---
## What This Skill Package Does
Superclaw prevents your agent from jumping straight into code. It enforces a three-phase workflow:
1. **🧠 Brainstorming** (`brainstorming/SKILL.md`) — Design before code
2. **📋 Writing Plans** (`writing-plans/SKILL.md`) — Plan before implementation
3. **⚙️ Executing Plans** (`executing-plans/SKILL.md`) — Batched execution with checkpoints
All three skills chain automatically when building software.
---
## How It Works
### Phase 1: Brainstorming (Design Before Code)
**Triggers:** When creating features, building components, adding functionality
**Process:**
1. Check context (MEMORY.md, USER.md, daily logs)
2. Ask Socratic questions (requirements, constraints, trade-offs)
3. Propose 2-3 approaches with pros/cons
4. Present design
5. Get approval
6. Save design document to `workspace/docs/plans/YYYY-MM-DD-<topic>-design.md`
7. **Automatically invoke writing-plans skill**
**Hard Gate:** No code until design approved.
---
### Phase 2: Writing Plans (Plan Before Implementation)
**Triggers:** When you have an approved design
**Process:**
1. **ASK about methodology** (TDD? Direct implementation?)
2. Ask about commit frequency
3. Break work into 2-5 minute tasks
4. Save implementation plan to `workspace/docs/plans/YYYY-MM-DD-<topic>-plan.md`
5. **Automatically invoke executing-plans skill**
**Key Feature:** Questions, not mandates. Respects user preferences and time constraints.
---
### Phase 3: Executing Plans (Batched Execution with Checkpoints)
**Triggers:** When you have an implementation plan
**Process:**
1. Load plan from document
2. Batch tasks into groups of 3-5
3. Execute batch (using `sessions_spawn` for isolation)
4. Review outputs
5. Checkpoint ("Batch N complete. Continue?")
6. Update `memory/YYYY-MM-DD.md` with progress
7. Repeat until com...# Superclaw ⚔️ **A complete software development workflow for OpenClaw agents** Superclaw enforces discipline through three chained skills: design before code, plan before implementation, batched execution with checkpoints. Based on [obra/superpowers](https://github.com/obra/superpowers) by Jesse Vincent, adapted for OpenClaw's personal assistant architecture. --- ## What It Does Your agent doesn't just jump into code. It: 1. **🧠 Brainstorms with you** — Socratic questions, design proposals, approval before coding 2. **📋 Writes TDD-ready plans** — Breaks work into 2-5 minute tasks (with methodology questions, not mandates) 3. **⚙️ Executes in batches** — Groups tasks, checkpoints between batches, updates memory --- ## Installation (Future) ```bash openclaw hub install superclaw ``` Skills auto-load when relevant tasks are detected. --- ## Skills Included ### 1. Brainstorming (`brainstorming/SKILL.md`) **Enforces design-before-code** - **Triggers:** When creating features, building components, adding functionality - **Hard Gate:** No code until design approved - **Process:** Context check → Questions → Approaches → Design → Approval → Save - **Then:** Automatically invokes writing-plans skill **Example:** ``` User: "Build a todo CLI" Agent: [Asks questions about storage, features] Agent: [Proposes 2-3 approaches with trade-offs] Agent: [Presents design, gets approval] Agent: [Saves design doc, invokes writing-plans] ``` ### 2. Writing-Plans (`writing-plans/SKILL.md`) **Enforces plan-before-implementation** - **Triggers:** When you have an approved design - **Key Feature:** ASKS about methodology (TDD? Commit frequency?) instead of mandating - **Process:** Ask methodology → Break into tasks → Save plan - **Then:** Automatically invokes executing-plans skill **Example:** ``` Agent: "Should we use TDD (tests first) or direct implementation?" User: "Direct implementation" Agent: [Creates plan with 10 tasks, 2-5 min each] Agent: [Saves plan doc, invok...
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