Agent skill

research-evaluate

Evaluate a research source from report_notes, understand its purpose, and create a Linear issue.

majiayu000534★ · 1 repos on radarProfile →
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill research-evaluate --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Allowed tools: BashReadGlobGrepmcp__linear__linear_createIssuemcp__linear__linear_searchIssuesEdit
Path: skills/analysis/research-evaluate/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

# Research Source Evaluator Find a research source in `report_notes/`, analyze its content (purpose, tables, charts, key findings), and create a Linear issue for implementation. ## Usage ```bash # By source ID from research.csv /research-evaluate RS-006 # By search query /research-evaluate "mean reversion currencies" # By file path /research-evaluate report_notes/fx_seasonality_research/sources/quantpedia/002_mean_reversion_currencies.md ``` ## Workflow ### Step 1: Find the Source ```bash # If ID provided, look up in research.csv grep "^$ID," /home/adesola/EpochDev/ClaudeCodeResearch/research.csv # If query provided, search sources grep -ri "$QUERY" /home/adesola/EpochDev/ClaudeCodeResearch/report_notes/*/sources/ ``` ### Step 2: Read and Analyze the Source Read the markdown file and extract: 1. **Frontmatter** - URL, title, domain, crawl date 2. **Hypothesis** - Main research question/thesis 3. **Data Requirements** - Assets, timeframes, data sources needed 4. **Methodology** - How the strategy/analysis works 5. **Key Metrics** - Performance figures, statistics mentioned 6. **Charts/Tables** - Visual elements and their purpose ```python # Example analysis structure { "source_id":

What's inside
Steps it walks through
  1. Usage
  2. Workflow
  3. Step 1: Find the Source
  4. Step 2: Read and Analyze the Source
  5. Step 3: Check for Existing Issues
  6. Step 4: Create Linear Issue
  7. Step 5: Update research.csv
  8. Output
  9. Issue Description Template
Ships with 1 file
  • metadata.json
Commands it runs
By source ID from research.csv
By search query
By file path
If ID provided, look up in research.csv
grep "^$ID," /home/adesola/EpochDev/ClaudeCodeResearch/research.csv
If query provided, search sources
grep -ri "$QUERY" /home/adesola/EpochDev/ClaudeCodeResearch/report_notes/*/sources/
More from claude-skill-registry
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About this skill
What does the research-evaluate skill do?

Evaluate a research source from report_notes, understand its purpose, and create a Linear issue.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill research-evaluate --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