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Skill

/agent-exploration

Coordinate native explorers for explicitly requested multi-area research with scoped written results and an evidence-backed synthesis.

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pedronauck-skills
63787 skills1 command
Install
$ npx -y skills add pedronauck/skills --skill agent-exploration --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/agent-exploration

Context preview

The summary Claude sees to decide when to auto-load this skill.

Coordinate native explorers for explicitly requested multi-area research with scoped written results and an evidence-backed synthesis.

SKILL.md

agent-exploration.SKILL.md
name: agent-exploration
description: >-
  Coordinate native explorers for explicitly requested multi-area research with
  scoped written results and an evidence-backed synthesis.
disable-model-invocation: true
argument-hint: "[--path <dir>] [--agents <num>] [--prompt <text>] [--model <model>]"
metadata:
  author: Pedro Nauck
  github: https://github.com/pedronauck
  repository: https://github.com/pedronauck/skills

Agent Exploration

Use when explicitly requested for research across independent areas with written results. Use the current harness's native explorers and configured model/effort; an explicit user override wins. Do not invoke an external runtime or create an agent registry for this workflow.

Scope and dispatch

1. Resolve the question and output path from the request or active task. Ask only for genuinely missing scope; creating the requested directory needs no additional confirmation. Default an unspecified artifact location to `.audits/exploration/<timestamp>/` and state it. 2. Reuse current grounding. Scout only enough to identify independent questions; no tool-call or source-count quota. Choose as many useful slices as capacity and scope justify, up to 8; `--agents` is an upper bound, not a target to pad. 3. Read `references/dispatch-rules.md` and `assets/explorer-prompt.md` once when preparing dispatch. Send each explorer its question, source scope, exact output path, and the scoped-write contract once. Include `assets/analysis-template.md` when a structured artifact is needed; do not duplicate the contract in several embedded documents. 4. Create the output directory, then dispatch independent slices as capacity permits. Prompts need durable copies only for a long/resumable run. Every worker is read-only except for its named analysis file; no commits or unrelated edits. 5. Inspect each completed artifact and its material citations. A failed slice does not invalidate successful siblings. Continue or correct the affected worker; do not launch a fresh whole round for a missing heading or confirmation sentence. 6. Write `analysis/summary.md` with the answer, evidence links, disagreements, remaining gaps, and actionable conclusions. Distinguish completed and unavailable slices; never claim an unperformed investigation succeeded.

Use `analysis/NN_analysis_<slug>.md` for each slice. Preserve externally required schemas; otherwise keep sections as short as their evidence permits. `references/checklist.md` is an inspection aid, not an extra approval stage. Routine single-file lookups need no delegation or research artifact.

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Ships withpedronauck-skills

A curated collection of 87 agent skills for Claude Code and compatible AI coding assistants — 40 original (⭐️), 34 hand-picked (💎), and 13 marketing & business (📣).

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Repo: pedronauck/skills

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