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SKILL verified MIT Self-run

Research Brief

skill-mikefluff-skills-research-brief · by Mikefluff

Produce a structured research brief on any topic — TL;DR, cited key facts, notable quotes, suggested angles, open questions. 3-15 queries by depth, multi-source (WebSearch + WebFetch + Firecrawl/Exa MCP). Markdown for downstream skills. Use when: 'research X', 'gather facts on Y', 'brief me on Z', 'prepare research for a post / carousel / reel'.

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Install

$ agentstack add skill-mikefluff-skills-research-brief

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

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Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Produce a 200-1000 word research brief on a topic, with cited facts, quotes, suggested narrative angles, and open questions. Save to a markdown file under ./generated/research/.md so downstream skills can ingest via --research .

This skill does NOT:

  • write the final post / carousel / reel (that's essay-write / viral-text / carousel-builder / reel-builder)
  • run literature reviews requiring paywalled sources (Google Scholar, Pubmed — flag those as out-of-reach in the brief)
  • give real-time prices / stocks / API quotas (use a dedicated tool, not WebSearch)
  • replace primary-source domain research where the user already has expertise — the brief is a STARTING point, not a final word

Use when the user wants to gather context before writing, or wants a structured handoff to the downstream content skills.

ROLE

Read the topic → choose depth + sources → run search queries → extract facts with citations → synthesize into the canonical brief structure → save to ./generated/research/.md → return the path so other skills can pick it up.

PIPELINE

  1. Clarify if topic is broad. "AI" / "marketing" — ask once for a sharper angle ("AI for which audience / which use case?"). Otherwise proceed.
  1. Pick depth:
  • --depth quick: 3-5 WebSearch queries, 200-400 word brief. ~1-2 min wall time.
  • --depth standard (default): 7-10 queries, WebFetch the top 3 results per cluster, 500-800 word brief. ~3-5 min.
  • --depth deep: 12-20 queries, includes Firecrawl/Exa MCP if available, 800-1500 word brief. ~5-10 min.
  1. Probe available sources (see references/mcp-probe.md):
  • WebSearch — always available inside Claude Code.
  • WebFetch — always available.
  • mcp__firecrawl__* — present if the user has Firecrawl MCP installed. Best for deep-crawl scrape of a known site.
  • mcp__exa__* — present if Exa MCP installed. Best for neural/semantic search and finding non-obvious sources.
  • Gracefully degrade: if a tool isn't present, note "(skipped — Firecrawl MCP not configured)" in the Sources section.
  1. Run query batches — see references/methodology.md:
  • Cluster A: foundational definitions (what is X, history, key actors). 2-4 queries.
  • Cluster B: recent developments / news (last 6-12 months). 2-4 queries.
  • Cluster C: contrarian / failure modes / criticism. 1-3 queries.
  • Cluster D: data + numbers + named studies. 2-4 queries.
  • Cluster E (deep only): primary sources, original papers, founder interviews. 2-5 queries.
  1. Extract: for each result, pull facts with the source URL, distinguishing between:
  • Verified facts (≥2 corroborating sources OR a primary source)
  • Single-source claims (note as such — [single-source])
  • Quotes (named attribution + URL + access date)
  • Open questions (claims that couldn't be verified — list them as research gaps, don't fabricate confirmations)
  1. Synthesize into canonical structure (see references/output-format.md):

``` #

Brief generated: . Sources used: . Depth: .

## TL;DR

## Key facts

  • [#1]
  • [#2]
  • ...

## Notable quotes > "" — , , [#N]

## Suggested angles

  1. — for
  2. — ...
  3. — ...

## Open questions

  • ...

## Out of reach / requires expertise

## Sources

  1. []() — accessed
  2. ...

```

  1. Write to disk: ./generated/research/-.md. Slug = kebab-case-of-topic, max 40 chars. If file exists, append timestamp.
  1. Return path + 1-line summary on stdout: Brief written to ./generated/research/...md (N sources, TL;DR: ...).

MODES

  • research-brief — default standard depth
  • research-brief --depth quick|standard|deep — control breadth
  • research-brief --sources websearch,webfetch,firecrawl,exa — restrict to specific tools (default: all available)
  • research-brief --output — custom output path
  • research-brief --format brief|outline|article-ready — controls verbosity (200 / 500 / 1000+ words)
  • research-brief --angles 3 — number of suggested narrative angles in the output (default 3)
  • research-brief --lang en|ru|mixed — write the brief in that language (sources can be any)
  • research-brief --for carousel|reel|post|essay|landing — bias the angles + structure toward a downstream format

REFERENCES (load on demand)

| File | When to load | |---|---| | [references/methodology.md](references/methodology.md) | Always at step 4 — cluster definitions + query patterns + de-dup rules | | [references/sources.md](references/sources.md) | Picking sources — what to trust, what to flag, primary vs. secondary, when to escalate to deep | | [references/output-format.md](references/output-format.md) | Step 6 — exact section structure, citation format, slug rules, multilingual handling | | [references/mcp-probe.md](references/mcp-probe.md) | Step 3 — how to detect Firecrawl/Exa MCP presence, what each adds, graceful fallback |

EXAMPLES

See [examples/before-after.md](examples/before-after.md) — 3 calibration runs: standard depth on a tech topic (productivity software), quick depth on a cultural topic (a brand campaign), deep depth on a niche business topic (vertical AI in a specific industry).

CONSTRAINTS

  • Cite every non-trivial claim. Inline [#N] markers tied to the Sources list. No source = put it in "Open questions" instead of presenting as fact.
  • Don't fabricate sources. If WebSearch returns nothing solid, say so. A short brief with 5 real sources beats a long one with invented ones.
  • Distinguish verified vs. single-source. Two corroborating sources OR a primary source → verified. One link → mark [single-source] next to the fact.
  • Quote attributions need a person OR org + publication + date. Anonymous "experts say" — don't include.
  • Date every source with access date. Web changes fast — note when you read it.
  • Suggested angles must reference a specific downstream format (carousel, reel, essay) — generic "you could write about X" is useless.
  • Open questions are mandatory for --depth standard and --depth deep. The list of things you DIDN'T resolve is half the value.
  • Out of reach flag — paywalled papers, NDA-protected info, vendor-specific pricing — list them, don't fake answers.
  • Output file path is always returned on stdout, last line. Downstream skills parse for --research ingestion.
  • Don't run the actual research if the file already exists for today's topic-slug + date unless --force-refresh was passed. Print existing path and ask if user wants to refresh.
  • Language: brief body follows --lang. Sources can be any language — translate quotes when needed, keep original in a (original: ...) annotation.
  • Never insert hype words ("revolutionary", "game-changing", "stunning"). The brief is dry intelligence, not marketing.
  • Don't promote your own confidence. If a source is weak, say "single blog post, no corroboration" — don't pad with "industry sources suggest".

INVOCATION HINTS

When the user says any of:

  • "research X", "look up X", "what's known about X"
  • "gather facts on Y", "brief me on Y", "give me a primer on Y"
  • "prepare research for a post / carousel / reel / video on Z"
  • "what's the current state of X", "trends in X right now"
  • "find sources for X", "verified facts about X"
  • "I need numbers / stats / quotes on X"

RU triggers:

  • «исследуй X», «собери информацию по Y»
  • «что известно про X», «подготовь ресерч по X»
  • «факты по теме X с источниками»
  • «найди источники / цитаты / цифры по X»
  • «бриф по X», «справку по X»

Defaults: --depth standard --format brief --angles 3 --lang .

This skill is the upstream for carousel-builder and reel-builder — they accept --research and ingest the brief automatically. Chain: research-brief "topic" → carousel-builder --research ./generated/research/topic-YYYYMMDD.md → 8 slides on the same topic with cited facts.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.