deep-research is agent-read markdown (skill) from nahid-sparktales/agent-dispatcher: Investigate an open question properly — frame it as a decision, work from primary sources, sweep from several angles including the disconfirming one, and stop on a rule rather than on fatigue. Use when a question's answer will change what gets built or bought, when the material is unfamiliar or contested, or when someone asks for a recommendation with evidence behind it. Not for looking up a single fact you can confirm in one place, not for mapping the local codebase, and not for judging one sou.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns the same grade.
What the file says
# Deep research
The failure mode is not finding too little. It is finding the first plausible answer, in one kind
of source, and reporting it with a confidence the search never earned.
## When this fires
A question is open, its answer changes a decision, and the evidence is not already in the
conversation. It does not fire for a fact with one authoritative home (the repository, the spec,
the user's own document) — read that and be done.
## Procedure
1. **Write the question as a decision.** What will be done differently depending on the answer,
and what would count as enough evidence to act. A question with no such criterion produces a
survey, and a survey decides nothing.
2. **Set the stopping rule before searching** — a budget in sources or time, plus "new sources stop
changing the answer". Deciding when to stop after you are tired is how research inflates.
3. **Split the question** into sub-questions that can be answered separately, and mark each as a
fact, a number, or a judgement. They need different evidence and they fail differently.
4. **Spend what you already have first.** The repository, the user's supplied material, prior
…
Pin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
GET https://markdownregistry.com/api/v1/artifacts/art_hevduf5g56duo3v2
GET https://markdownregistry.com/api/v1/resolve?ref=nahid-sparktales/agent-dispatcher/deep-research
GET https://markdownregistry.com/api/v1/blob/d422586900a420453bba39657363e85532c44b7fc731177ae955f02c5d406c08
Your agent does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
nahid-sparktales/agent-dispatcher · skills/agent-dispatcher/SKILL.md · Route work to a specialist role and load its task-specific guidance. Use when the user invokes /agent-dispatcher, names…
nahid-sparktales/agent-dispatcher · skills/ai/agent-design/SKILL.md · Scope an agent or subagent before it is built — the one job it owns, the smallest tool set that closes that job, what…
nahid-sparktales/agent-dispatcher · skills/ai/agent-evals/SKILL.md · Build an eval suite that can actually detect a regression — cases pulled from real traffic, graders that check…
nahid-sparktales/agent-dispatcher · skills/ai/context-engineering/SKILL.md · Decide what actually occupies the model's window — progressive disclosure through an index, retrieval versus inlining…
nahid-sparktales/agent-dispatcher · skills/ai/llm-observability/SKILL.md · See what an agent actually did — one trace per run with nested model, tool and retrieval spans, token and latency…
nahid-sparktales/agent-dispatcher · skills/ai/mcp-design/SKILL.md · Build an MCP server, or bring an existing one into a project — choosing the transport, deciding which tools, resources…
nahid-sparktales/agent-dispatcher · skills/ai/memory-design/SKILL.md · Decide what an agent should remember, which layer holds it, who it is scoped to, and how a stale or contradicted memory…
nahid-sparktales/agent-dispatcher · skills/ai/model-routing/SKILL.md · Pick a model per job and degrade sensibly when one fails — a quality bar per call site, candidates compared on the same…
nahid-sparktales/agent-dispatcher · skills/ai/prompt-engineering/SKILL.md · Write or revise a prompt so it holds up — output contract, instruction placement, examples that earn their place, an…
nahid-sparktales/agent-dispatcher · skills/ai/prompt-injection-defense/SKILL.md · Treat everything an agent reads but did not author as data rather than instructions — an explicit trust boundary, a…
nahid-sparktales/agent-dispatcher · skills/ai/retrieval-rag/SKILL.md · Build and fix retrieval that actually returns the right passage — structure-aware chunking, one pinned embedding model…
nahid-sparktales/agent-dispatcher · skills/ai/structured-output/SKILL.md · Get parseable, trustworthy structured results out of a model — schema design, the enforcement mechanism the provider…
affaan-m/ecc · .agents/skills/deep-research/SKILL.md · Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited…
affaan-m/ecc · .kiro/skills/deep-research/SKILL.md · Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited…
bytedance/deer-flow · skills/public/deep-research/SKILL.md · Use this skill instead of WebSearch for ANY question requiring web research. Trigger on queries like "what is X"…
imbad0202/academic-research-skills · deep-research/SKILL.md · Universal deep research agent team. 13-agent pipeline for rigorous academic research on any topic. 8 modes: full…
thu-maic/openmaic · skills/agent-runtime/deep-research/SKILL.md · Courses whose content rests on current, external or real-world facts that must be verified against live sources before…
maxmiksa/auto-company · .claude/skills/deep-research/SKILL.md · Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs…
