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deep-research-framework

Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty…

Skill by alapha888

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About

Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Use when the user asks for a research report, topic investigation, or competitive analysis.

Use cases: documents, writing, research

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Skill name
deep-research-framework
Description
Framework for deep research reports: define the question and tier sources first, cross-verify, then write conclusion-first reports with explicit uncertainty statements. Use when the user asks for a research report, topic investigation, or competitive analysis.
License
MIT
Instructions
55 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Deep Research Report Framework

Produce a report whose "conclusions are trustworthy, process is traceable, and the unknowns are explicitly marked." The quality floor of research is set by its sources, not its prose.

## Workflow

1. **Define the question**: write in one sentence what the report must answer. Add at most 3 sub-questions. Starting before the question is clear guarantees the research will sprawl.
2. **Tier your sources** (tier before you search, so you don't believe whatever you find first):
   - Primary: official docs, original papers, original filings, protocol/legal texts, measured data.
   - Secondary: reputable press, industry reports, expert interviews.
   - Tertiary: social-media posts, forum threads, aggregator sites — leads only, never evidence.
3. **Cross-verify**: key conclusions need two or more independent sources. Two sources quoting the same origin don't count as independent. If no second source exists, downgrade the conclusion to "single-source claim" and mark it as such.
4. **Writing structure** (conclusion first):
   - Opening: 3–5 lines stating the core conclusions.
   - Body: one section per sub-question, each in "conclusion → evidence → sources" order.
   - Closing: uncertainty statement — "what wasn't found, what's speculation, under what conditions the conclusions change."
5. **Timestamps**: date every key fact ("as of Sep 2026"). Undated information is treated as "possibly stale" by default.

## Rules

- Mark speculation as speculation. Use "may", "likely", "unverified" — never dress speculation up with "clearly" or "it is well known".
- No tertiary source supports a core conclusion. A forum thread can point a direction, never serve as evidence.
- Every number in the report has a source. A number without a source is deleted, not rewritten.
- Give "what you don't know" its own explicit uncertainty statement (Workflow step 4, closing section) — never bury the unknowns inside confident prose.

## Minimal example (report outline template)

```markdown
# Research Report: <Topic> (example outline)

**Core conclusions** (3–5 lines): …

## 1. Sub-question one
- Conclusion: …
- Evidence: … (source: primary/secondary, as of …)
- Evidence: … (second independent source)

## 2. Sub-question two
…

## Uncertainty statement
- Not found: …
- Single-source claims: … (one source only, pending verification)
- Invalidation conditions: if … changes, conclusion X in this report needs reassessment.
```

## Anti-patterns

- ❌ Single-source verdicts: one social-media post becomes "research shows".
- ❌ Speculation as fact: "clearly" and "it is well known" are the most dangerous words in a research report.
- ❌ Undated facts: 2023 data presented as the current state; the conclusion quietly expires.
- ❌ Evidence pile with no conclusion: 20 sources listed, and the reader still can't tell what the author believes.
- ❌ Hiding the unknowns: burying what wasn't found makes the report look omniscient and plants landmines.

From alapha888/agent-skills-en, MIT.

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Last commit (this folder)
Oct 16, 2026 (13 days ago)
Last release
Oct 16, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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deep-research-framework skill. Agent Mart. https://agentmart.dev/skills/alapha888-deep-research-framework (last updated 2026-10-24)