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/harvest-adaptive

Adaptive content summarization - auto-detect content type and produce relevant summary

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vibecosystem
532200 skills138 agents7 hooks
Install
$ npx -y skills add vibeeval/vibecosystem --skill harvest-adaptive --agent claude-code

How 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/harvest-adaptive

Context preview

The summary Claude sees to decide when to auto-load this skill.

Adaptive content summarization - auto-detect content type and produce relevant summary

SKILL.md

harvest-adaptive.SKILL.md
name: harvest-adaptive
description: Adaptive content summarization - auto-detect content type and produce relevant summary
allowed-tools: [Bash, Read, Write, WebFetch, WebSearch]
keywords: [digest, summary, evaluate, library, tool, article, adaptive, overview]

Harvest Adaptive (Digest)

Automatically detect content type and produce the most useful summary. A blog post gets key takeaways. A library gets feature evaluation. Documentation gets structure overview. API reference gets endpoint catalog.

Usage

/digest <url>

Examples

# Evaluate a library
/digest https://github.com/owner/cool-library

# Summarize an article
/digest https://blog.example.com/microservices-patterns

# Overview documentation
/digest https://docs.example.com

Content Type Detection

| Type | Signals | Output Style | |------|---------|-------------| | Library/Tool | GitHub repo, npm page, PyPI | Feature matrix, ecosystem health, recommendation | | Blog/Article | Single long-form content | Key takeaways, relevance assessment | | Documentation | Multi-page, navigation structure | Structure map, coverage assessment, quality | | API Reference | Endpoints, methods, params | Endpoint catalog, auth info, SDK availability | | Comparison | Tables, vs, alternatives | Feature matrix, winner per category | | Tutorial | Step-by-step, code blocks | Prerequisites, steps summary, outcome |

Output Templates

Library Evaluation

# Library: [name]
> Source: [URL] | Stars: [X] | Last commit: [date]

## What It Does
[1-2 sentence description]

## Key Features
- Feature 1
- Feature 2

## Ecosystem Health
| Metric | Value |
|--------|-------|
| GitHub Stars | X |
| Weekly Downloads | X |
| Last Release | date |
| Open Issues | X |
| Contributors | X |

## API Surface
[Key classes/functions/exports]

## Verdict
[Use when... Don't use when... Alternatives: ...]

Article Summary

# Summary: [title]
> Source: [URL] | Author: [name] | Date: [date]

## Key Takeaways
1. [Point 1]
2. [Point 2]
3. [Point 3]

## Relevance
[How this applies to current project/context]

## Action Items
- [What to do based on this]

Rules

  • Auto-detect, don't ask user for content type
  • Keep summaries under 500 words
  • Always include source URL and date
  • For libraries: check last commit date, flag if > 6 months
  • For articles: check publication date, flag if > 1 year
  • Confidence rating on every assessment
Read more
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