/planning-workflows
Spec and no-spec planning workflows derived from local slash commands (requirements, design, tasks).
$ npx -y skills add TencentCloudBase/CloudBase-AI-Toolkit --skill planning-workflows --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/planning-workflows
Context preview
The summary Claude sees to decide when to auto-load this skill.
Spec and no-spec planning workflows derived from local slash commands (requirements, design, tasks).
SKILL.md
planning-workflows.SKILL.mdname: planning-workflows description: Spec and no-spec planning workflows derived from local slash commands (requirements, design, tasks).
Planning Workflows (spec / no-spec)
This skill standardizes how to choose and execute planning modes using local slash commands.
When to use this skill
Use this skill when the user:
- wants a full spec workflow before implementation
- wants to skip spec and execute directly for small scoped tasks
- asks how to decide between spec vs no-spec
Source of truth
- `references/source-commands.md`
Decision rules
- Prefer **spec** when work is new/complex, cross-module, risky, or acceptance criteria are unclear.
- Prefer **no-spec** when work is small, low-risk, well-scoped (docs/config/simple fixes).
Execution rules
1. Read the matching command template from `references/source-commands.md`. 2. Follow it as a phase gate workflow:
- do not skip required confirmations when running spec mode
- keep scope tight when running no-spec mode
3. Keep artifacts in the repo conventions (e.g. `specs/<name>/...`) when spec is selected.
Command mapping
See `references/command-catalog.md`.
AI writes the code. CloudBase runs the backend. The CloudBase integration layer for AI coding tools: Plugin installs the stack, Skills steer how code is written, MCP operates databases, functions, storage, and deploys from chat.
Repo: TencentCloudBase/CloudBase-AI-Toolkit
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