api-digest
Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis
Best use case
api-digest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis
Teams using api-digest should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/api-digest/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How api-digest Compares
| Feature / Agent | api-digest | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Use when user asks for digest ("дайджест", "саммари", "что нового", "digest", "summary") - fetches data via API and generates detailed analysis
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# API Data Digest Generate detailed digest from your API. ## API Access Run [fetch.sh](fetch.sh) to get data: ```bash ./fetch.sh ``` ## Output Format Use template from [output-template.md](output-template.md). ## What to Extract - **Topics**: tools, discussions, problems, recommendations - **Quotes**: funny, insightful, emotional with @username - **Links**: grep http/https in content - **Questions**: unanswered - **Contributors**: most active authors ## Analysis Guidelines 1. Be comprehensive — extract more detail than a typical summary 2. Preserve context — don't strip nuance from quotes 3. Identify patterns — group related discussions into topics 4. Note sentiment — flag heated debates or consensus moments 5. Extract value — prioritize actionable info over noise ## Language Output in the same language as the source data.
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