跳到正文
cccskills
免费在 GitHub 公开

paced-explanation

Use when asked to explain or teach a subsystem, module, pattern, or change in progressive layers from purpose to code depth. Not for design rationale: use why. Not for source or remote-system changes.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(2)

  • SKILL.md3.7 KB
  • agents/openai.yaml195 B

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Paced explanation

Contract

FieldBound contract
TriggerUser asks to teach or explain a subsystem, module, pattern, or change.
AuthorityRead-only. No file, VCS, credential, paid, published, deployed, or remote mutation.
Side effectChat output only; inline diagrams on request.
DoneFour layers delivered in sequence (purpose, structure, behavior, code), each grounded in concrete file paths, line ranges, or symbols from the resolved target; the explanation progresses purpose → structure → behavior → code without skipping a layer; deeper layers offered after each. The explanation may stop after any delivered layer that was followed by a deeper offer.

Inputs

  • Target (required): the subsystem, module, pattern, or change to explain. Supplied as an argument, a file path, or the current conversation context.
  • Depth (optional): explicit depth ceiling or focus area. Absent means begin at the purpose layer (Layer 1) and offer deeper.

Procedure

  1. Identify the target. Resolve the target to concrete code: file paths, line ranges, and key symbols. Use grep, glob, read, or LSP tools. If the target cannot be resolved after one read of the conversation, stop and ask one clarifying question naming what to explain. Done when: the target is resolved to concrete file paths, line ranges, and key symbols, or one clarifying question is asked.
  2. Map the scope. Identify the entry point, internal structure, and external interfaces of the target. Build a lightweight mental map: what the subsystem owns, what it delegates, and how it is named in the codebase. Done when: the entry point, internal structure, and external interfaces are identified.
  3. Explain in progressive layers. Deliver the explanation as a flat sequence from surface to depth, with each layer building on the previous:
    • Layer 1: Purpose: what the target does and why it exists in one sentence.
    • Layer 2: Structure: how the target is organized and what the main components are.
    • Layer 3: Behavior: how the components interact and what the key inputs and outputs are.
    • Layer 4: Code: the key symbols, line ranges, and the logic they encode. Done when: all four layers are delivered in sequence from purpose to code.
  4. Offer deeper layers. After each layer, invite the user to request more depth. Accept a focus area or continue layer by layer. Stop when the user stops. Done when: an explicit invitation to go deeper follows each delivered layer, and no layer is delivered without the offer that follows it.
  5. Render diagrams on request. If the user asks for a diagram, render an inline diagram (ASCII, Mermaid, or HTML) showing the structure or flow. No external diagram tool required. Done when: the requested diagram is rendered inline.

Failure and recovery

  • Unresolvable target: the target cannot be identified from argument, path, or conversation context. Stop. Ask one question naming what to explain. Do not invent a target.
  • Partial code context: the target resolves to a partial view of the codebase. Explain what is visible. Mark where the picture is incomplete. Do not claim the explanation is complete when it is not.
  • No rollback required: this skill is read-only. No file, state, or remote resource is modified.

Output

A single plain explanation in layered prose, starting from purpose and progressing to code depth on request. Diagrams rendered inline on explicit request. No persistent workspace, no session state, no multi-turn follow-up required.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Use when explaining System V AMD64, ARM AAPCS, RISC-V psABI, stack frames, variadic calls, or FFI register rules. Not for the Rust FFI binding layer: use rust-ffi.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

Use when configuring ADC sampling time, DMA-driven ADC, calibration, or DAC channel setup on bare-metal MCUs. Not for the DMA stream itself: use dma-baremetal.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

af-xdp

免费

Use when creating AF_XDP sockets, configuring UMEM and XSK rings, writing an XDP redirect program, or choosing copy versus zero-copy mode. Not for full kernel bypass: use dpdk.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

Use when a completed session needs an agent-environment retrospective. Not for an engineering retrospective from telemetry: use engineering-retrospective.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

Use when a redacted, trimmed agent transcript must be appended to a GitHub PR or issue body, with human approval and preview. Not for automated or model-initiated insertion.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

agents-md

免费

Use when a repo needs agent setup, AGENTS.md added or made lean, CLAUDE.md audited, or agent instructions scored or pruned. Not for remote, credential, publish, deploy, or irreversible changes.

中文简介正在准备中。当前显示原文说明。

OutlineDriven/odin-claude-plugin372026年9月29日 更新

查看 OutlineDriven 的全部技能

报告此技能的问题