gather-screenshots

gather-screenshots is a skill for Claude Code from Andamio-Platform/coach. It costs 20 tokens per session (1,372 once invoked), scanned A, original, MIT.

A course-production tool that creates checklists of screenshots needed for product demonstration lessons. It uses a course's readiness assessment and outline to identify missing visual context.

In plain words
What is it for?
Use it after a readiness review and before creating product demo lessons when the course requires screenshots.
Why use it?
It turns identified gaps into a concrete capture list, so you know which screens and user flows need to be recorded before building the lessons.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the coach plugin — 15 skills shipped together

Good fit Use it after a readiness review and before creating product demo lessons when the course requires screenshots.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/andamio-platform/coach/gather-screenshots
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.

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

Made for: Claude Code.

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

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for gather-screenshots

README.md
[![agentmods](https://agentmods.dev/badge/skills/andamio-platform/coach/gather-screenshots/github.svg)](https://agentmods.dev/skills/andamio-platform/coach/gather-screenshots)
Your own site
<a href="https://agentmods.dev/skills/andamio-platform/coach/gather-screenshots"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/gather-screenshots/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gather-screenshots

Your own site · 80×15
<a href="https://agentmods.dev/skills/andamio-platform/coach/gather-screenshots"><img src="https://agentmods.dev/badge/skills/andamio-platform/coach/gather-screenshots.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,372 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00020 $0.01372
Opus 5 $0.00010 $0.00686
Sonnet 5 $0.00004 $0.00274
Haiku 4.5 $0.00002 $0.00137

Measured 9d ago against content hash a5d4739f9643, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

gather-screenshots 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 9d 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-screenshots/SKILL.md · 206 lines

How it starts

The opening of the file, as written. The whole thing — 206 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Skill: Gather Screenshots

Description

Generates a structured screenshot capture checklist from a course's readiness assessment. Used during Phase 6 (Gather Context) of the course workflow to prepare assets for Product Demo lessons.

When to Use

  • After /self-assess-readiness identifies Product Demo SLTs as "Needs Context"
  • When the Context Shopping List includes screenshots
  • Before building Product Demo lessons

Invocation

/gather-screenshots                           # Interactive: asks which course
/gather-screenshots andamio-for-contributors  # 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"
  • Which of those are Product Demo lesson type (cross-reference with 03-lesson-type-classification.md)
  • What specific screenshots are needed (from Gap Analysis sections)

3. Read Course Outline

Read 00-course.md to get:

  • Lesson focus for each SLT (what UI flows to capture)
  • Lesson inputs specified (what screenshots were already anticipated)

4. Generate Checklist

Create assets/screenshots/README.md with:

# Screenshot Capture Checklist: [Course Name]

**Generated from:** `04-readiness-assessment.md`
**Target site:** [primary URL]
**Last updated:** [date]

## Capture Settings

- **Browser:** Chrome or Firefox (consistent across all screenshots)
- **Window width:** 1280px recommended
- **Theme:** Use default theme
- [Any course-specific settings]

## Naming Convention

[slt-number]-[flow-name]-[sequence].png


## Checklist

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

| # | Filename | What to Show | Status |
|---|----------|--------------|--------|
| 1 | `X.Y-flow-name-01.png` | [specific UI state] | [ ] |
| 2 | `X.Y-flow-name-02.png` | [next UI state] | [ ] |

**Capture notes:**
- [specific guidance for this flow]

---

[Repeat for each Product Demo SLT]

## Summary

| SLT | Screenshots Needed | Captured | Notes |
|-----|-------------------|----------|-------|
| X.Y | [count] | 0 | [brief note] |

**Total:** [n] screenshots

## Capture Session Notes

_Use this space to record observations during capture:_

- Date:
- Tester:
- Environment:
- Observations:

Read the full file on GitHub · 206 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. 9d ago First seen · 206 lines · 20 tokens per session scan A a5d4739f9643

Subscribe to this mod's changes

gather-screenshots 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 1,372 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

xiaohei-code-decoder

A tool that turns a codebase or GitHub repository into a bilingual Chinese-and-English illustrated explanation. It saves the explanation as a single HTML slide deck in a hand-drawn Xiaohei style.

anniekoala/xiaohei-code-decoder · 134 tokens

observer

Run a study session over a video or podcast the user wants to understand: transcribe it, prepare the concepts and the visuals before they press play, then answer whatever they ask at the exact moment they pause, with charts you build on the spot. Use this whenever the user shares a YouTube or podcast link and wants it…

hec-ovi/observer-skill · 110 tokens

html-ppt-zhangzara-daisy-days

A customer-success workshop onboarding users to a project-management app — the first-value path and the habits that retain. Built as a decision-grade professional training deck for new customers, CS team.

nexu-io/open-design · 49 tokens

html-ppt-zhangzara-retro-windows

An IT security-awareness training on spotting phishing — the tells, the drill, and what to do in the first 60 seconds. Built as a decision-grade professional training deck for all employees.

nexu-io/open-design · 51 tokens

baoyu-comic

A tool for creating original educational comics that explain knowledge or ideas through multiple illustrated panels. It supports different art styles and tones and can create several comics in one batch.

JimLiu/baoyu-skills · 61 tokens

short-drama

A production workflow for making multi-episode AI short dramas, covering story planning, character consistency, scripts, generated video shots, voices, sound, subtitles, and final assembly.

ZJU-REAL/Easel · 124 tokens