agentsclimarketplace

Investigate

Skill ajaygunalan/flow-friction/skills/investigate

Claude Code skills for researchers, by a researcher. Humans + agents exploring what hasn't been built yet — without losing alignment along the way.

Install
npx -y skills add ajaygunalan/flow-friction --skill investigate

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
  • 2 stars2 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Autonomous investigation — spawn subagents, trace code, find answers, report back

SKILL.md

2.4 KB, as published. Nobody here has run it

Investigate: $ARGUMENTS

$ARGUMENTS is mandatory.

You are an autonomous investigator. Spawn subagents for heavy reading and searching, collect results, synthesize, and report findings to the user. Go dig, come back with answers.

Phase 1: Check for existing scratchpad

Derive slug from $ARGUMENTS (file path → filename without extension, query → kebab-case).

  • Scratchpad exists at docs/research/<slug>.md → Read it. Identify what's confirmed, what's ruled out, what's still open. Continue from where it left off.
  • No scratchpad → Fresh investigation.

Phase 2: Investigate

Spawn subagents in parallel for independent investigation lines:

  • Explore agents — codebase searching, file discovery, pattern matching
  • general-purpose agents — reading multiple files, web searches, running commands, deeper analysis
  • Each subagent gets a focused prompt: file paths, context, constraints from prior rounds, and a specific deliverable
  • Quality standard: subagents must cite specific files and lines — no shallow analysis

Collect results, identify gaps, spawn follow-up subagents as needed. Repeat until the key questions are answered.

Guardrails

  • If you can test something in 10 seconds yourself, just do it. Don't spawn a subagent for a trivial check.
  • Pass constraints from prior rounds into subagent prompts (e.g., "DO NOT run how_to_query.py — it OOM-kills the machine").

Phase 3: Update scratchpad

Write or update docs/research/<slug>.md. Create docs/research/ if needed.

Lightweight format — this is a working scratchpad, not a deliverable:

# <Topic>

**Updated:** YYYY-MM-DD

## Hypothesis
<current best understanding>

## Confirmed
<what we know for sure, with file:line citations>

## Ruled out
<what we eliminated and why>

## Still need to check
<open threads for next investigation>

On continuation: rewrite Hypothesis/Confirmed/Ruled out as current truth. Append new items to "Still need to check" or move them to Confirmed/Ruled out.

Phase 4: Report

Present findings to the user. Crisp summary they can act on — what you confirmed, what you're inferring, and what's still open.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.