gather-code-examples

A course-planning tool that creates a checklist of code examples and API documentation needed for developer lessons. It uses a course’s readiness review and outline as its source material.

In plain words
What is it for?
Use it while preparing developer-documentation lessons, especially when a readiness review shows that code examples or API references are missing.
Why use it?
It turns missing context into a concrete list of examples and references, reducing the chance of starting a lesson without the material needed to explain it.

Skill for Claude CodeCodex

Part of the coach plugin — 15 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/andamio-platform/coach/gather-code-examples
Any agent
npx skills add Andamio-Platform/coach --skill gather-code-examples
Clone the repo
git clone --depth 1 https://github.com/Andamio-Platform/coach

Made for: Claude Code, Codex.

Or install coach, the plugin that ships this one along with the rest of its 15 skills.

Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,645 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00020 $0.01645
Opus 5 $0.00010 $0.00822
Sonnet 5 $0.00004 $0.00329
Haiku 4.5 $0.00002 $0.00164

Measured 2d ago against content hash 6b5f0fbe8d98, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

gather-code-examples scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/gather-code-examples/SKILL.md · 255 lines

How it starts

The opening of the file, as written. The whole thing — 255 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Gather Code Examples

Description

Generates a structured code example checklist from a course's readiness assessment. Used during Phase 6 (Gather Context) of the course workflow to prepare assets for Developer Documentation lessons.

When to Use

  • After /self-assess-readiness identifies Developer Documentation SLTs as "Needs Context"
  • When the Context Shopping List includes code examples or API references
  • Before building Developer Documentation lessons

Invocation

/gather-code-examples                           # Interactive: asks which course
/gather-code-examples andamio-for-api-developers  # Specify course

Instructions

1. Identify Course

If no course specified, scan courses-in-progress/ and ask which course to generate checklist for.

2. Read Readiness Assessment

Read 04-readiness-assessment.md to identify:

  • Which SLTs are "Needs Context" or "Needs Human"
  • Which of those are Developer Documentation lesson type (cross-reference with 03-lesson-type-classification.md)
  • What specific code examples are needed (from Gap Analysis sections)
  • What API references or docs are needed

3. Read Course Outline

Read 00-course.md to get:

  • Lesson focus for each SLT (what code patterns to demonstrate)
  • Lesson inputs specified (what examples were already anticipated)
  • Any specific libraries, frameworks, or APIs mentioned

4. Generate Checklist

Create assets/code-examples/README.md with:

# Code Example Checklist: [Course Name]

**Generated from:** `04-readiness-assessment.md`
**Primary language:** [language]
**Key libraries:** [list]
**Last updated:** [date]

## Environment Requirements

- **Language version:** [e.g., Go 1.21+, Node 18+]
- **Required packages:** [list with versions if known]
- **Test environment:** [e.g., Cardano preprod, local devnet]

## Naming Convention

[slt-number]-[example-name].[ext]


## Checklist

### SLT [X.Y]: [SLT text]

| # | Filename | What to Demonstrate | Status |
|---|----------|---------------------|--------|
| 1 | `X.Y-example-name.go` | [specific code pattern] | [ ] |

**Code requirements:**
- [ ] Compiles without errors
- [ ] Runs against [test environment]
- [ ] Includes comments explaining key steps
- [ ] Error handling demonstrated

**API references needed:**
- [ ] [specific API doc or function signature]

**Verification:**
- [ ] Output matches expected result
- [ ] Tested on [date] against [environment]

---

[Repeat for each Developer Documentation SLT]

## Summary

| SLT | Examples Needed | Verified | Notes |
|-----|-----------------|----------|-------|
| X.Y | [count] | 0 | [brief note] |

**Total:** [n] code examples

## API Documentation Links

| Library | Doc URL | Version | Status |
|---------|---------|---------|--------|
| [name] | [url] | [version] | [ ] Verified current |

## Gathering Session Notes

_Use this space to record observations:_

- Date:
- Tester:
- Environment version:
- Issues encountered:

Read the full file on GitHub · 255 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 2d ago First seen · 255 lines · 20 tokens per session scan A 6b5f0fbe8d98

Subscribe to this mod's changes

gather-code-examples is a skill published in the GitHub repository Andamio-Platform/coach (6 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 1,645 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

LEAP

LEAP builds skills through two pipelines: Branch A distills a skill from raw data, while Branch B combines multiple skills into one. It is called by the main SkillAlchemy workflow. Use when SkillAlchemy requires distillation or fusion.

agentsope/SkillAlchemy · 52 tokens

bq-skill

行为面试 skill。帮求职者挖掘真实经历、用 STAR/CAR 结构化、映射能力标签、构建可复用的中英双语故事库(Story Bank);并能接入 JD + 简历,针对具体岗位生成 Top 20 BQ 选题 + 基于真实经历的 STAR 准备模板(HTML 报告)。不是背答案,而是建立可复用的职业叙事体系,让任何行为面试题都能自然作答。关键词:behavioral question, BQ, 行为面试, STAR, 故事库, Amazon LP, 职业故事, tell me about a time, 面试准备, JD 面试题预测, top 20 题。.

yanliudesign/offer-toolkit-skill · 166 tokens

vitaecontext-vitaegraph

Build, deepen, validate, index, and maintain a private hierarchical career knowledge graph from supplied career materials. Use when the user asks to create or update a VitaeGraph, model education with nested courses or thesis work, enrich projects from Git repositories, or supply deep selected career context to…

vitaecontext/vitaecontext · 69 tokens

exam-study-guide

将已经讲完但尚未完成阶段门禁的一个章节整理成强类型教材清单,并在视觉模式下编译为公式可读、图片可见、知识点与全部对应例题逐项精讲的自包含 HTML/PDF。结构化工作区准备阶段完成证据、用户说 Markdown 公式仍是 raw LaTeX、图片缺失、要含课件/作业/Quiz/模拟考试题及答案的零基础讲义,或要求打印版时使用。.

ZeKaiNie/universal-examprep-skill · 113 tokens

exam-ingest

从学生上传的课件/大纲/老师勾的重点/真题,一键初始化并验证备考工作区:解析 PDF、DOCX、PPTX、 XLSX、常见独立图片与 txt/md,建立分章节 LLM Wiki、标准题库、结构化接管队列与进度状态;仅在 Python 确实无法运行时 明确降级为手动写盘。当工作区尚未建立、资料发生变化、或建库 readiness 被阻断时使用。.

ZeKaiNie/universal-examprep-skill · 116 tokens

exam-cram

临考前的极速备考总教练。把课件、大纲、重点与真题建成分章 wiki 和标准题库,再组织惰性授课、 题库判分、错题与疑难复盘及可选考前小抄,并持久化进度。用于期末、备考、突击、刷题、划重点、 错题与考前复习;不用于长期规划或与考试无关的写作/编程。.

ZeKaiNie/universal-examprep-skill · 111 tokens