Agent skill

shipflow-research

Deep web research on any topic — multi-source investigation, structured markdown report saved to file

Stars 163
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/shipflow-research

SKILL.md

Context

  • Current directory: !pwd
  • Project CLAUDE.md: !head -40 CLAUDE.md 2>/dev/null || echo "no CLAUDE.md"

Mode detection

  • $ARGUMENTS is provided → Research that topic.
  • $ARGUMENTS is empty → Use AskUserQuestion to ask what to research.

Flow

Step 1: Parse topic

If $ARGUMENTS is empty, use AskUserQuestion:

  • Question: "What topic should I research?"
  • Options:
    • Library comparison — "Compare libraries/tools for a specific need"
    • Best practices — "Current best practices for a technology or pattern"
    • Migration guide — "How to upgrade or migrate a specific tool"
    • Architecture — "Architecture patterns for a specific use case"

Then ask for the specific topic via a second question.

Step 2: Multi-source research

Use multiple tools to gather comprehensive information:

  1. WebSearch — broad search for overview, recent articles, blog posts
  2. mcp__exa__web_search_exa — technical depth, documentation
  3. mcp__exa__get_code_context_exa — code examples, implementations, Stack Overflow answers
  4. mcp__context7__resolve-library-id + mcp__context7__query-docs — official library documentation
  5. WebFetch — specific URLs found in search results that need deeper reading

Run searches in parallel where possible (multiple WebSearch + Exa calls in one message).

Step 3: Synthesize report

Structure the research into a comprehensive markdown report:

markdown
# Research: [Topic]

> Generated [date] — Sources: [count]

## Executive Summary
[2-3 sentences: what was researched, key finding, recommendation]

## Background
[Why this matters, context for the decision]

## Current State ([year])
[What's the current landscape? Latest versions, trends, adoption]

## Options / Approaches

### Option 1: [Name]
- **Pros**: ...
- **Cons**: ...
- **Best for**: ...
- **Example**:
  ```[lang]
  [code example]

Option 2: [Name]

...

Best Practices

[Current consensus on how to do this well]

Code Examples

[Practical, tested examples relevant to the project's stack]

Recommendations

[Specific recommendation for this project, with reasoning]

Sources

  • Title — [one-line summary]
  • ...

### Step 4: Save report

Determine save location:
- If inside a project directory: save to `research/[topic-slug].md` (create `research/` dir if needed)
- If at workspace root (`~/`): save to `~/ShipFlow/research/[topic-slug].md`

Generate a URL-safe slug from the topic: lowercase, hyphens, no special chars.

### Step 5: Report

RESEARCH COMPLETE: [topic] ═══════════════════════════════ Sources consulted: [count] Report saved to: [file path] Key finding: [one-line summary] Recommendation: [one-line recommendation] ═══════════════════════════════


---

## Important

- **Every claim must have a source.** No unsourced assertions.
- **Prefer recent sources** (2024-2026). Flag older sources as potentially outdated.
- **Verify code examples** against current API versions. Don't copy deprecated patterns.
- **Save reports** — don't just print them. Reports are reusable reference material.
- If researching a library: always check Context7 first for official docs.
- If the topic is project-specific (e.g., "best auth for Astro"), include the project's stack context.
- Be honest about uncertainty. If sources conflict, present both views.
- Keep code examples in the project's language/framework when possible.

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