Deep Research logo

Deep Research

Organization
vanillagreencom
deep-research

Load for research tasks, architectural investigations, and vendor, library, or technology comparisons.

Overview

Publishervanillagreencom
Repositorykendex
Skill namedeep-research
Stars
80
Forks
31
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by vanillagreencom on GitHub. Read the source before you install it.

Installation

Install the Deep Research AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/vanillagreencom/kendex.git /tmp/kendex
mkdir -p .claude/skills
cp -r /tmp/kendex/skills/deep-research .claude/skills/deep-research
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Deep Research in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Deep Research on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Deep Research is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Deep Research

In Pi with the web_research tool active, use that tool, passing outputPath when creating a report. In every other harness, run scripts/deep-research with EXA_API_KEY set.

Rules

  • Exa is the research source. Substitute a general web search only when Exa is unavailable and the user approves the fallback.
  • Write findings.md to the path the caller requested, exactly.
  • Cite sources for material claims. Provider payloads go in the sidecar JSON (findings.raw.json beside the report by default), never inline. Sanitize evidence excerpts: source-page headings must not render as headings.
  • Once the report and its sidecar exist, run validate and stop. No local reproduction, benchmarks, tests, code inspection, or implementation unless the caller asked for it.
  • A missing EXA_API_KEY fails with setup instructions. Set it on this package's Customize tab in the kendex app, or by hand in the project's private env file — .env.local unless KENDEX_ENV_FILE names another. The value may be a key or a 1Password op://vault/item/field reference when the op CLI is installed and signed in.
  • Every mode uses the same findings sections. Record mode and source counts in ## Research Metadata.

Running

bash
.agents/skills/deep-research/scripts/deep-research report "question" --mode standard --output path/to/findings.md
.agents/skills/deep-research/scripts/deep-research report --query-file prompt.txt --context-glob 'context-*.md' --mode full --output findings.md
.agents/skills/deep-research/scripts/deep-research json "question" --output raw.json
.agents/skills/deep-research/scripts/deep-research validate findings.md findings.raw.json
.agents/skills/deep-research/scripts/deep-research doctor

deep-research help lists every flag. Exa /search caps the settings behind them: numResults 1-100, text.maxCharacters 1-10000, additionalQueries at most 10.

ModeExa typeResultsText capTimeoutSynthesis
litedeep-lite1510k chars/result5 minNot requested, evidence brief only
standarddeep-reasoning5010k chars/result10 minRequested via outputSchema
fulldeep-reasoning10010k chars/result30 minRequested, per query

standard is the default; lite for fast spikes, full for strategic or high-risk decisions. --type, --num-results, and --text-max-characters override a mode's defaults.

--additional-query (repeatable) reaches Exa as additionalQueries within the single request under lite and standard, and as one request per query with URLs deduped across responses under full.

--include-domain is a hard host filter, not a quality filter: --include-domain github.com admits every repo on it and excludes everything else. Name authoritative projects and organizations in the query text for quality; audit the returned source list either way.

Validation

bash
.agents/skills/deep-research/scripts/deep-research validate path/to/findings.md path/to/findings.raw.json

Prints {ok, errors, warnings, mode, synthesis, queryCount}; exits 0 when there are no errors. Checks structure only: required sections present, sidecar parses, query-expansion metadata self-consistent, synthesized answer present for modes that requested one.

Read for these yourself:

  • Claims the cited sources contradict. Spot-check material numbers against the sidecar source text.
  • Off-topic sources that share an acronym or name with the subject.
  • Recommendations with no claim-level support in Evidence and Sources.
  • Results generalized past what the source established.

Findings format

templates/findings.md carries exactly the sections validate requires, in order. Key Findings holds distinct claims, not a restatement of the summary.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Deep Research AI skill do?

Load for research tasks, architectural investigations, and vendor, library, or technology comparisons.

Why use Deep Research on TypingMind?

Because you install it once and use it with any model. Deep Research is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Deep Research in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/vanillagreencom/kendex/tree/main/skills/deep-research. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Deep Research?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Deep Research?

As many as you like. As long as a model supports skills, you can use Deep Research with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Deep Research AI skill free?

Yes. It is published on GitHub by vanillagreencom under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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