investigate

Featured

Delegate read-only investigation, debugging, audit, search, or code-understanding tasks to sub-agents; synthesize only from their structured reports.

AI & Automation 7,797 stars 1139 forks Updated today Apache-2.0

Install

View on GitHub

Quality Score: 92/100

Stars 20%
100
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# investigate — delegated read-only work Use for any read-only task: investigation, debugging, audit, search, code understanding, architecture comparison, failure analysis, or answering a repository-specific technical question. ## Procedure 1. Decompose the question into one or more bounded investigation tasks. Prefer two independent lenses for ambiguous or high-stakes questions. 2. Dispatch each task to `claude_code`, `codex`, `opencode`, `cursor`, `hermes`, or `pi`: `sys_session_send(agent="claude_code"|"codex"|"opencode"|"cursor"|"hermes"|"pi", title="explore-<task_slug>", args={purpose: "explore", input: "<question + exact scope + evidence requested>"})`. Use a task-based title such as `explore-ci-flake`, never the raw vendor name. Use `purpose: "search"` only when the task is primarily external/document search. Prefer `pi` when a third lens or a non-Claude/GPT model is wanted. Any worker takes an optional `args.model` (`sys_list_models` shows what each worker can run; an invalid model/worker combination fails loud at dispatch, and `model` only applies on the dispatch that CREATES the session — a send that continues an existing title rejects it). Tell the worker to edit nothing and return file, command, URL, or line evidence. Emit these `sys_session_send` calls in the SAME turn — do not end a turn having only said you will dispatch. 3. End your turn AFTER the dispatch tool calls are in flight (never before). Do not inspect fi...

Details

Author
omnigent-ai
Repository
omnigent-ai/omnigent
Created
1 months ago
Last Updated
today
Language
Python
License
Apache-2.0

Similar Skills

Semantically similar based on skill content — not just same category