Complete AI TrainingYourJobSkills for your job

Skills / development

go-in-depth

Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report.

IT & Software Development

Go In Depth

Overview

Go in depth harness — fan-out web searches, fetch sources, adversarially verify claims, synthesize a cited report. Run the "go-in-depth" workflow.

When to Use

When the user wants a deep, multi-source, fact-checked research report on any topic. BEFORE invoking, check if the question is specific enough to research directly — if underspecified (e.g., "what car to buy" without budget/use-case/region), ask 2-3 clarifying questions to narrow scope. Then pass the refined question as args, weaving the answers in.

How It Works

Phases:

  • Scope: Decompose question (from args) into 5 search angles
  • Search: 5 parallel WebSearch agents, one per angle
  • Fetch: URL-dedup, fetch top 15 sources, extract falsifiable claims
  • Verify: 3-vote adversarial verification per claim (need 2/3 refutes to kill)
  • Synthesize: Merge semantic dupes, rank by confidence, cite sources

Examples

Example 1: Run go-in-depth workflow

Workflow({ name: "go-in-depth" })

Example 2: Research with refined question

Workflow({ name: "go-in-depth", args: { query: "best hybrid cars under $30k in the US for families" } })

Example 3: Deep dive into a technical concept

Workflow({ name: "go-in-depth", args: { query: "how does the transformer architecture handle positional encoding?" } })

Example 4: Fact-checking a medical claim

Workflow({ na

Subscribers only

The full skill, its 2 bundled files and every download is included with every paid Complete AI plan.

Details

Sourceself
License
Risk labelsafe ("critical" means the skill may run commands or touch files — read before use)
FilesSKILL.md, scripts/workflow-script.js
Added2026-07-07

Related skills

agent-harness-fault-injection

Use when an agent workflow needs deterministic recovery evidence for sandbox, MCP/tool, worker, checkpoint, memory, or orchestration failures.

agents-md

Create, revise, or audit AGENTS.md files from repository evidence, verified commands, and correctly scoped instructions without overwriting maintainer intent.

agenttrace-session-audit

Audit local AI coding-agent sessions with agenttrace for cost, tool failures, latency, anomalies, health, diffs, and CI gates.

api-endpoint-builder

Builds production-ready REST API endpoints with validation, error handling, authentication, and documentation. Follows best practices for security and scalability.

api-rate-limit-handler

Implement bounded, idempotency-aware API throttling, backoff, and retry handling for 429 and transient 5xx responses.

arm-cortex-expert

Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).