research
Answer focused questions from documents, APIs, or a few sources; route broad comparisons and high-stakes investigations to deep-research.
Skill by lstmemery
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/lstmemery-research
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: research
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Secrets
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- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/research
What's inside
- Skill name
research- Description
- Answer focused questions from documents, APIs, or a few sources; route broad comparisons and high-stakes investigations to deep-research.
- License
- MIT
- Instructions
- 77 lines in SKILL.md · view on GitHub
Files (5)
- EVIDENCE.md
- REFERENCE.md
- SKILL.md
- openai.yaml · agents/
- trigger-cases.json · tests/
SKILL.md (first lines)
# Research Answer the user's focused question from opened sources. Finish when each material claim matches its evidence, contradictions and missing evidence are explicit, and the active runtime's output and delivery contract is satisfied. Load the active runtime's durable user preferences and delivery contract for this step. When this run produces a finished report, deliver it through that contract by default after the research coordinator has completed synthesis and validation. Do not ask again whether to send it. Honor an explicit opt-out in the current request. Workers return their slice artifacts to the coordinator and never deliver them. Report only the delivery state observed; say the report was emailed only after the delivery helper verifies receipt. For jailed research's independent fact-check requirement before PrivateBin/PDF delivery, follow the [delivery rule](REFERENCE.md#jailed-research-delivery). Use the request first, then relevant supplied prior art and sources that own the claims: official documentation, code, specifications, APIs, or original papers. Search snippets and model memory are leads. A prior report is a `[PRIOR-NOTE]`, not fresh verification; reopen material or changeable claims. ## Choose the path - **Single lookup:** one fact or owner document. Inspect relevant supplied context, open the source, answer from the supporting passage, cite it, and state material limitations. Compare the final wording, units, qualifiers, and date with that passage before returning. Keep the evidence with the answer; no separate plan, evidence table, or audit artifact is required. - **Focused investigation:** several disputed claims, a few sources, or a short causal chain. Follow the investigation below. - **Broad or high-stakes investigation:** load and follow skill `deep-research` before gathering sources. Scope, rather than a fixed source count, decides. A required saved report may be the same concise answer as a single lookup. Use the runtime's output root and delivery mechanism. Queue only the finished report, never plans, drafts, or worker slices. If no delivery mechanism exists, say so and leave the report available. Confirm only the delivery state observed. ## Focused investigation 1. **Scope.** Inspect supplied prior art before searching. Record the question, audience, recency boundary, relevant definitions, exclusions, and stop rule in a compact note. Infer ordinary details; ask only when a missing decision would materially change the answer. 2. **Gather.** Read [EVIDENCE.md](EVIDENCE.md) for the shared source, evidence-row, and claim-check contract. Find and open owner sources. Keep one evidence table with support or an explicit gap for each requested part. 3. **Synthesize and check.** Map findings to evidence; resolve contradictions or carry both claims into the gap statement. Separate recommendations from source claims. Apply the shared claim check to all retained material claims, including uncited prose. A captured passage can satisfy the check; fetch again when freshness, incomplete capture, or a contradiction requires it. 4. **Deliver.** Use [REFERENCE.md](REFERENCE.md#investigation-report) for the report fields. Stop when the scoped parts are supported or unresolved, further retrieval repeats existing evidence, and the claim check passes. Preserve limitations rather than implying that missing evidence proves a negative. Deliver through the active runtime's contract. For long, independent reading that earns a worker's overhead, or explicit user-requested delegation, read [REFERENCE.md](REFERENCE.md#worker-contract). A single-owner fact stays inline or uses at most one worker. If scope grows, record why the route changed. ## Continuity and recovery Across turns, preserve scope, selected route, evidence/artifact locations, decisions, contradictions, gaps, check results, and the next action. Keep these in the existing run artifact rather than creating a second state system. For retrieval failure, try one transient retry or an alternate owner source; record a continuing failure as a gap. Read [REFERENCE.md](REFERENCE.md#retrieval-and-worker-recovery) when retrieval or a worker result is incomplete. Missing evidence may narrow the answer; it cannot justify an unsupported claim.
From lstmemery/skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 12, 2026 (16 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/lstmemery/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from lstmemery
- 0.589score
retro
lstmemery
Review a named or current coding and orchestration session for evidence-backed improvements to an agent's environment.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
orchestrator
lstmemery
Coordinate delegated coding, research, and everyday tasks across agent harnesses.
SkillAFreshness: A★ 1Claude Code +9 - 0.589score
shopping
lstmemery
Research a concrete purchase or current offer.
SkillAFreshness: A★ 1Claude Code +9 - 0.587score
ticket-readiness
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Review a specified ticket before implementation for current applicability, remaining acceptance, material assumptions, and directly related work.
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
setup-matt-pocock-skills
lstmemery
Configure a repo's issue tracker, triage vocabulary, and domain-document layout for the engineering skills.
SkillAFreshness: A★ 1Claude Code +9 - 0.586score
diagnosing-bugs
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Diagnose bugs, failures, and performance regressions using an observed failure signal and targeted probes.
SkillAFreshness: A★ 1Claude Code +9
Cite this page
research skill. Agent Mart. https://agentmart.dev/skills/lstmemery-research (last updated 2026-10-24)