version: "1.0.2" name: anycap-deepresearch description: "Guide for conducting thorough, multi-source research and producing comprehensive, well-sourced reports. Powered by AnyCap -- the capability runtime that equips AI agents with web search (including AI Grounded citations), web crawl, image generation, cloud storage, and one-click web publishing through a single CLI. Use when the user asks for deep research, competitive analysis, market research, technical deep dive, literature review, technology comparison, or any task requiring multi-source information gathering and synthesis. Also use when users say \"investigate\", \"survey the landscape\", \"compare X vs Y\", \"state of the art\", \"write a report on\", \"look into\", \"find out about\", \"analyze the market\", or any inquiry that needs more than a single search. Trigger on mentions of research, analysis, investigation, comparison, report, survey, or deep dive." metadata: version: 0.6.0 website: https://anycap.ai license: MIT compatibility: Requires anycap CLI (authenticated). Works with any agent that supports shell commands.

AnyCap Deep Research

Read this entire file before starting. It defines the multi-source research workflow from planning through synthesis.

Conduct thorough, multi-source research on any topic. Gather information broadly, verify claims rigorously, and synthesize findings into a polished, well-sourced report.

Think deeply. Search broadly. Verify everything. Deliver clearly.

Before You Start

Read all five reference files before taking any action. Understanding the full process prevents wasted effort and ensures thorough research.

1. Read this file (SKILL.md) for the overview and principles
2. Read each reference in order:

• 01-plan.md
• 02-gather.md
• 03-analyze.md
• 04-synthesize.md
• 05-deliver.md

1. Then begin Phase 1: Plan

For detailed CLI command usage (flags, output formats, jq patterns), refer to the anycap-cli skill and its references.

Prerequisites

• anycap CLI installed and authenticated (anycap status to verify)
• A local working directory for intermediate files

When to Use This Skill

• Deep research, research report, deep dive on any topic
• Competitive analysis, market research, technology comparison
• Literature review or state-of-the-art survey
• Investigative research requiring cross-referencing multiple sources
• Any task where a single search is insufficient

Research Process

Follow the research process below. User clarification is mandatory -- do not skip it.

graph LR
    A["Preliminary Search<br/>(optional)"] --> B[Clarify with User]
    B --> C[Plan]
    C --> D[Gather]
    D --> E[Analyze]
    E --> F[Synthesize]
    F --> G[Deliver]
    E -->|gaps found| D

The process starts with an optional preliminary search to build context, followed by a mandatory clarification with the user, then autonomous execution.

Each phase has detailed guidance in the references:

1. [Plan](references/01-plan.md) -- Preliminary search (optional), clarify with user (mandatory), design search strategy, set up workspace
2. [Gather](references/02-gather.md) -- Execute searches, crawl pages, download and save all raw material
3. [Analyze](references/03-analyze.md) -- Cross-verify claims, assess source quality, identify gaps
4. [Synthesize](references/04-synthesize.md) -- Write the report with proper sourcing and illustrations
5. [Deliver](references/05-deliver.md) -- Save to Drive, publish as web page, or both

Human-in-the-Loop

This skill involves the user at key decision points:

1. Before research begins -- Clarify the research question, confirm sub-questions, agree on delivery format, and ask whether image generation is permitted. See 01-plan.md.
2. During synthesis -- Review all downloaded and generated images yourself (via anycap actions image-read) before including them in the report. See 04-synthesize.md.

Do not skip the initial clarification. A 2-minute conversation with the user can save an hour of misguided research.

Once research begins (Phase 2 onward), work autonomously. Do not interrupt the user with questions during gathering, analysis, or synthesis. Make your best judgment based on the preferences established in Phase 1. If you encounter ambiguity, note it in your research journal and resolve it with the best available evidence.

Core Principles

Be thorough, not frugal. Use as many searches and crawls as needed to produce a comprehensive report. Breadth and depth of research determine report quality.

Save everything. Write intermediate results (search outputs, crawled pages, grounding responses, notes) to local files. These are your evidence base for cross-verification and sourcing.

Verify, do not assume. Cross-check important claims across multiple independent sources. When sources conflict, investigate further rather than picking one.

Search in parallel. When sub-questions are independent, run multiple searches concurrently rather than sequentially. This produces results faster and gives you more material to cross-reference.

Prefer AI Grounded search for complex questions. Grounding search (--prompt) synthesizes across multiple sources and provides citations. Use it generously for questions that benefit from multi-source synthesis. Use general search (--query) for finding specific pages and data points.

Use mermaid for diagrams. When the report needs architecture diagrams, flow charts, timelines, or comparisons, use mermaid syntax in markdown. Both Drive and Page render mermaid natively. Always verify mermaid diagrams render correctly before including them in the final report (see 04-synthesize.md).

Prefer original images. When a source provides relevant images, diagrams, or screenshots, download and use the originals. Only generate images when you need to explain a concept, aggregate data into a visualization, or express information more clearly than the source material. Generated images must not misrepresent or deviate from the source material.

Quick Reference