Agent skill · Content & Marketing

agent-ops-potential-discovery

Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill agent-ops-potential-discovery-weholt-script-cast --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 10 KB
Bundled scripts: none
Path: skills/analysis/agent-ops-potential-discovery-weholt-script-cast/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Potential Discovery Workflow ## Purpose Perform deep analysis of incoming content to: 1. Extract and understand its core purpose 2. Create extensive, structured summaries 3. Identify potential value and applications for the current project 4. Suggest concrete integration opportunities or inspired improvements ## When to Use - Evaluating a new library, tool, or framework - Reviewing incoming code contributions or PRs - Analyzing competitor products or similar solutions - Assessing documentation, specs, or RFCs - Exploring repositories for reusable patterns - Reviewing articles, blog posts, or research papers ## Input Types | Type | Description | Example | |------|-------------|---------| | **Text** | Raw text, markdown, documentation | Pasted README, spec doc | | **File** | Single file analysis | `analyze: ./incoming/proposal.md` | | **Folder** | Directory tree analysis | `analyze: ./incoming/new-library/` | | **URL** | Web content (requires fetch capability) | `analyze: https://github.com/user/repo` | ## Procedure ### Phase 1: Content Ingestion 1. **Identify content type** (text/file/folder/URL) 2. **Load content**: - Text: Use directly - File: Read file contents - Folder: Scan s

What's inside
Steps it walks through
  1. Purpose
  2. When to Use
  3. Input Types
  4. Procedure
  5. Phase 1: Content Ingestion
  6. Phase 2: Purpose Extraction
  7. Phase 3: Extensive Summary
  8. Phase 4: Potential Assessment
  9. Phase 5: Issue Creation
  10. Output Locations
  11. Integration with agent-ops-idea
  12. Integration with Other Skills
  13. Customization Options
  14. Completion Criteria
Ships with 1 file
  • metadata.json
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About this skill
What does the agent-ops-potential-discovery skill do?

Analyze incoming content (text, files, folders, URLs) to extract purpose, create summaries, and identify potential value for the current project.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill agent-ops-potential-discovery-weholt-script-cast --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going