Autonomous Investigation

by deanpeters

Autonomous Investigation is an AI Engineering skill for Claude Code, published by deanpeters in Product-Manager-Skills.

6.5K stars780 forkson deanpeters/Product-Manager-SkillsAdded 2026/08/15+1% in starsRepository updated 2026/08/13

View source on GitHub Download repo ZIP

ai-agentsai-product-managementclaude-skillspm-frameworksproduct-management

Install in seconds

Install Autonomous Investigation

Copy Autonomous Investigation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/deanpeters/Product-Manager-Skills/tree/main/skills/autonomous-investigation ~/.claude/skills/autonomous-investigation

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/deanpeters/Product-Manager-Skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/autonomous-investigation/SKILL.md in deanpeters/Product-Manager-Skills
Installs to: ~/.claude/skills/autonomous-investigation
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 2451 skills

What Autonomous Investigation does

Autonomous Investigation defines the canonical contract for investigation skills: AI research that proceeds without the user, using question budgets, search-plan gates, evidence labels, confidence stacking, and stable diffable outputs. Use it when delegating research to agents or scheduled runs.

Autonomous Investigation is cataloged under AI Engineering on DirSkills. Autonomous Investigation comes from a repository tagged ai-agents, ai-product-management, claude-skills, pm-frameworks and product-management.

Documentation

README

Excerpt

Autonomous Investigation Protocol

Purpose

Provide the canonical contract for investigation skills — research the AI performs in the world (web search, published data, public filings) while you review the evidence instead of feeding it context. Where workshop-facilitation governs skills that ask you questions one at a time, this protocol governs skills that proceed without you: they budget their questions, show their plan, label every claim, and produce output stable enough to diff against last quarter's run. That last property is the payoff — an investigation honoring this contract can run as an agent task, in a loop, or on a schedule.

Input

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Autonomous Investigation

What else does deanpeters publish alongside Autonomous Investigation?
Autonomous Investigation is one of 25 skills that DirSkills catalogs from deanpeters/Product-Manager-Skills, the repository it ships in. Its siblings there include AI-Shaped Readiness Advisor, Acquisition Channel Advisor and Agent Orchestration Advisor. Each one is a separate skill with its own page in this directory, installs the same way Autonomous Investigation does, and is maintained by deanpeters in that same repository. The rest of the collection is listed on the deanpeters/Product-Manager-Skills page.
How does Autonomous Investigation compare to other AI Engineering skills?
Autonomous Investigation ranks #435 by stars among the 2451 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Autonomous Investigation against them. Open each page to compare what they document and how they install.