Agent skill

Parallel Investigation

by rohitg00 in rohitg00/skillkit

Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas.

Apache-2.0Auto-check passedDevelopment

Install Parallel Investigation

skills CLI
$ npx skills add rohitg00/skillkit --skill parallel-investigation -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install rohitg00/skillkit parallel-investigation --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/rohitg00/skillkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/core/src/methodology/packs/collaboration/parallel-investigation .claude/skills/parallel-investigation && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
parallel-investigation
GitHub stars
1.5k
Token cost
~1.4k tokens
SKILL.md length
338 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas.

  • Works in 5 steps: Problem Decomposition → Thread Assignment → Parallel Execution → …
  • Debugging production incidents
  • SKILL.md covers Core Principle, Investigation Structure, Coordination Patterns and Communication Protocol, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Parallel Investigation is an agent skill from rohitg00/skillkit. Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist; when serial troubleshooting is too slow; or when multiple investigators can divide root-cause analysis work. Provides structured phases for problem decomposition, thread assignment, sync points with…

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Root cause analysis. The repository describes itself as: Supercharge AI coding agents with portable skills. Install, translate & share skills across Claude Code, Cursor, Codex, Copilot & 40 more. The licence is Apache-2.0.

When your agent uses it

  • Debugging production incidents
  • Slow API performance
  • Multi-system integration failures
  • Complex bugs where the root cause is unclear and multiple plausible theories exist

Example prompts

  • “Use the parallel-investigation skill to coordinate parallel investigation threads to simultaneously explore multiple hypotheses or root causes…”
  • “/parallel-investigation”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Problem Decomposition
  2. Thread Assignment
  3. Parallel Execution
  4. Sync Points
  5. Convergence

What it can do on your machine

Read from SKILL.md and the folder at commit d2e5c34. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Parallel Investigation loads about 1.4k tokens when it runs. Until then it costs about 151 tokens; SKILL.md has 338 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~151
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from rohitg00/skillkit at commit d2e5c34, republished under its Apache-2.0 licence (© rohitg00). 338 words, ~1,449 tokens.

Download SKILL.mdSave it as .claude/skills/parallel-investigation/SKILL.md (or your agent's skills folder).
name
parallel-investigation
description
Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Use when debugging production incidents, slow API performance, multi-system integration failures, or complex bugs where the root cause is unclear and multiple plausible theories exist; when serial troubleshooting is too slow; or when multiple investigators can divide root-cause analysis work. Provides structured phases for problem decomposition, thread assignment, sync points with Continue/Pivot/Converge decisions, and final report synthesis.
version
1.0.0
triggers
investigate in parallel, multiple approaches, divide investigation, complex problem, explore options
tags
collaboration, investigation, parallel, problem-solving
difficulty
advanced
estimatedTime
15
relatedSkills
debugging/root-cause-analysis, collaboration/handoff-protocols

Parallel Investigation

Coordinate parallel investigation threads to explore multiple hypotheses simultaneously. Most effective for production incidents, performance regressions, or integration failures where the root cause is unclear.

Core Principle

When uncertain, explore multiple paths in parallel. Converge when evidence points to an answer.

Parallel investigation reduces time-to-solution by eliminating serial bottlenecks.

Investigation Structure

Phase 1: Problem Decomposition

Break the problem into independent investigation threads:

Problem: API responses are slow

Investigation Threads:
├── Thread A: Database performance
│   └── Check slow queries, indexes, connection pool
├── Thread B: Application code
│   └── Profile endpoint handlers, check for N+1
├── Thread C: Infrastructure
│   └── Check CPU, memory, network latency
└── Thread D: External services
    └── Check third-party API response times

Each thread should be independent (no blocking dependencies), focused (clear scope), and time-boxed.

Phase 2: Thread Assignment

Assign threads with clear ownership:

markdown
## Thread A: Database Performance
**Investigator:** [Name/Agent A]
**Duration:** 30 minutes
**Scope:**
- Query execution times
- Index utilization
- Connection pool metrics
**Report Format:** Summary + evidence
Phase 3: Parallel Execution

Each thread follows this pattern:

  1. Gather evidence specific to thread scope
  2. Document findings as you go
  3. Identify if thread is a lead or dead end
  4. Prepare summary for sync point

Thread Log Template:

markdown
## Thread: [Name]
**Start:** [Time]

### Findings
- [Timestamp] [Finding]

### Evidence
- [Log/Metric/Screenshot]

### Preliminary Conclusion
[What this thread suggests about the problem]
Phase 4: Sync Points

Regular convergence to share findings:

Sync Point Agenda:
1. Each thread report (2 min each)
2. Discussion & correlation (5 min)
3. Decision: Continue, Pivot, or Converge (3 min)

Sync Point Decisions:

  • Continue: Threads are progressing, maintain parallel execution
  • Pivot: Redirect threads based on new evidence
  • Converge: One thread found the answer, others join to validate
Phase 5: Convergence

When a thread identifies the likely cause:

  1. Validate — Other threads verify the finding
  2. Deep dive — Focused investigation on identified cause
  3. Document — Compile findings from all threads

Coordination Patterns

Hub and Spoke: One coordinator assigns threads, tracks progress, calls sync points, and makes convergence decisions. Best when one person has the most context.

Peer Network: Equal investigators post findings to a shared channel and self-organize convergence when a pattern emerges. Best when investigators have similar expertise.

Communication Protocol

During Investigation
[Thread A] [Status] Starting query analysis
[Thread B] [Finding] No N+1 patterns in user endpoint
[Thread A] [Finding] Slow query: SELECT * FROM orders WHERE...
[Thread C] [Dead End] CPU and memory within normal
[Thread A] [Hot Lead] Missing index on orders.user_id
At Sync Point
markdown
## Thread A Summary

**Status:** Hot Lead
**Key Finding:** Missing index on orders.user_id
**Evidence:** Query taking 3.2s, explain shows full table scan
**Recommendation:** Likely root cause — suggest converge

Decision Framework

Thread StatusAction
All exploringContinue parallel
One hot leadValidate lead, others support
Multiple leadsPrioritize by evidence strength
All dead endsReframe problem, new threads
Confirmed causeConverge, begin fix

Time Management

A typical two-hour investigation:

0:00  Problem decomposition & thread assignment
0:15  Parallel investigation begins
0:45  Sync point #1 → Continue/Pivot/Converge decision
1:30  Sync point #2 (if continuing)
1:35  Final convergence & documentation

Adjust sync point cadence based on incident severity — every 20 minutes for critical outages, every 45 minutes for lower-urgency investigations.

Documentation

Final Report Structure
markdown
# Investigation: [Problem]

## Summary
[Brief description and resolution]

## Threads Explored

### Thread A: [Area]
- Investigator: [Name]
- Findings: [Summary]
- Outcome: [Lead / Dead End / Root Cause]

## Root Cause
[Detailed explanation of what was found]

## Evidence
- [Evidence 1]
- [Evidence 2]

## Resolution
[What was done to fix]

## Lessons Learned
- [Learning 1]

Integration with Other Skills

  • debugging/root-cause-analysis: Each thread follows RCA principles
  • debugging/hypothesis-testing: Threads test specific hypotheses
  • handoff-protocols: When passing a thread to another person

© rohitg00, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in packages/core/src/methodology/packs/collaboration/parallel-investigation of rohitg00/skillkit.

Open the folder on GitHubat commit d2e5c34

Compare with similar skills

Parallel Investigation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Parallel Investigation compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parallel Investigation this skillrohitg00/skillkit1.5k—~1.4kAutomated safety check: PassApache-2.0
Code Design Rationale Investigatorcursor/plugins10k9 repos~2.6kAutomated safety check: PassNone
OpenLogi macOS Permissions TriageAprilNEA/OpenLogi23k—~2.5kAutomated safety check: NotesApache-2.0
Bug Finder for daisyUIsaadeghi/daisyui43k—~2.3kAutomated safety check: PassMIT
Root Cause Debugginggarrytan/gstack136k—~1.4kAutomated safety check: PassMIT
Review PRapache/shardingsphere21k—~6.4kAutomated safety check: PassApache-2.0

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Categories

Questions about Parallel Investigation

What does Parallel Investigation do?

Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas. Parallel Investigation is an agent skill from rohitg00/skillkit. Coordinates parallel investigation threads to simultaneously explore multiple hypotheses or root causes across different system areas.

When should I use Parallel Investigation?

Parallel Investigation fits situations like: debugging production incidents; slow API performance; multi-system integration failures; complex bugs where the root cause is unclear and multiple plausible theories exist.

How do I install Parallel Investigation in Claude Code?

Run `npx skills add rohitg00/skillkit --skill parallel-investigation -a claude-code`. Or copy the skill folder (packages/core/src/methodology/packs/collaboration/parallel-investigation in rohitg00/skillkit) into .claude/skills/parallel-investigation in your project. Claude Code loads it when a task matches its description.

How do I install Parallel Investigation in Codex?

Run `npx skills add rohitg00/skillkit --skill parallel-investigation -a codex`. Or copy the skill folder (packages/core/src/methodology/packs/collaboration/parallel-investigation in rohitg00/skillkit) into .agents/skills/parallel-investigation in your project. Codex loads it when a task matches its description.

Can I use Parallel Investigation in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add rohitg00/skillkit --skill parallel-investigation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parallel-investigation, .gemini/skills/parallel-investigation, .github/skills/parallel-investigation and .opencode/skills/parallel-investigation in your project.

What does Parallel Investigation need to run?

SKILL.md names no scripts, command-line tools or credentials: Parallel Investigation is instructions for the agent only.

Does Parallel Investigation access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Parallel Investigation safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Parallel Investigation use?

Parallel Investigation is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Parallel Investigation use?

About 1.4k tokens (SKILL.md is roughly 5.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Parallel Investigation?

Skills that share tags, products or a category with Parallel Investigation: Code Design Rationale Investigator (cursor/plugins, 10k stars), OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars) and Root Cause Debugging (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parallel Investigation?

rohitg00 (a GitHub user) maintains it in rohitg00/skillkit, which has 1,546 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on June 2, 2026.

Source: rohitg00/skillkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.