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$ agentstack add skill-jakebrownscombe-science-lab-ai-framework-topic-writing ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
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Reliability & compatibility
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Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
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How agent discovery & health will work →About
Topic Writing: Research Synthesis & General Science Writing
A structured skill for researching topics and producing polished written documents across formats. Covers everything from quick blog posts to comprehensive literature syntheses.
Required references: load before drafting
conventions/voice.template.md: core writing voiceconventions/topic-format.template.md: synthesis/perspective/policy/blog format conventionsconventions/research.md: source-faithfulness contractconventions/supporting/sentence-patterns.md: sentence-level construction patterns (if available)
Load these before any drafting. Topic writing inherits the manuscript voice with format-specific deltas.
Overview
Four phases, scaled to the task:
- Scoping: Define topic, audience, format, depth
- Research: Systematic literature search, evaluation, synthesis
- Drafting: Write in the chosen format following the lab's voice
- Review & Polish: Self-review, refine, deliver
Simple tasks (blog post on a familiar topic) compress phases. Complex tasks (20-page synthesis) expand them.
Phase 1: Scoping
Establish before writing:
Topic definition:
- Specific question or topic being addressed
- Scope boundaries (geographic, taxonomic, temporal, methodological)
- Particular angles or framings requested
Format selection: identify early, it shapes everything:
| Format | Length | Audience | Citations | Tone | |--------|--------|----------|-----------|------| | Research synthesis | 5 to 20 pp | Scientists, managers | High | Formal, evidence-based | | Perspective/commentary | 2 to 5 pp | Scientific community | Moderate | Measured, opinionated but balanced | | Policy brief | 2 to 4 pp | Decision-makers | Low (key refs) | Clear, action-oriented | | Technical report | 5 to 30+ pp | Mixed technical | Moderate to high | Detailed, methodical | | Blog post / outreach | 500 to 1500 words | General public | Minimal (links) | Accessible, conversational | | Background document | Variable | Internal | High | Working document |
Depth calibration:
- Quick overview: 1 to 2 pages, main points, limited search
- Standard synthesis: 5 to 10 pages, systematic coverage, 20 to 40 references
- Comprehensive review: 10 to 20+ pages, exhaustive search, 50+ references
Ask the user if format/depth aren't obvious from context.
Phase 2: Research
Follow the principles in conventions/research.md for all literature work. Core rules: never hallucinate references, verify claim-citation alignment, prioritize relevance over prestige.
Research Strategy by Citation Density
High density (syntheses, reports):
- Break topic into 3 to 6 narrative themes needing literature support
- Search systematically: PubMed, Google Scholar. Specific terms, not broad ones.
- Forward/backward citation chaining from key papers
- Verify every citation: authors, year, title, journal, volume/pages. Flag anything unverifiable.
- Evaluate quality: peer-reviewed empirical work for facts, reviews for framing, government or agency reports for regulatory context
- Balance eras: foundational papers + recent work (last 5 to 10 years)
- Document contradictions: mixed evidence is valuable information
Moderate density (perspectives, commentaries):
- Curate the most relevant and impactful references
- A few well-chosen citations beat exhaustive lists
- Include references that illustrate the argument
Low density (policy briefs, blog posts):
- 5 to 10 most important sources
- Prioritize synthesis papers, meta-analyses, authoritative reports
- Open-access sources are more useful for general audiences
Organize Before Writing
For high-citation documents, organize research by theme: key claims with supporting citations, confidence levels, contradictions, and connections to the broader narrative.
Phase 3: Drafting
Voice
Read conventions/voice.template.md for the full voice profile. Core fingerprint applies across all formats:
- Measured confidence. Facts decisively; interpretations hedged.
- Practical framing. Gaps are practical problems. Connect to applications.
- No superlatives. Never "unprecedented," "revolutionary," "groundbreaking."
- Precision. Actual values and specifics where possible.
- Active voice. ~95% across all formats.
- Uncertainty woven in. Limitations and alternatives throughout, not afterthoughts.
- Concrete verbs. "examine," "characterize," "quantify," "estimate," "explore," "assess."
Format-Specific Structure
Research Synthesis
Thematic, not chronological. Organize around ideas, not papers.
- Open: scope and significance
- Body: themes, each building on the last (established to advances to gaps to implications)
- Conclude: synthesis across themes, key takeaways, specific research needs
- If systematic search: brief methods note (databases, date range, criteria)
Perspective / Commentary
Argument-driven. Take a position, build the case.
- Clear thesis up front
- Evidence curated to support the argument
- Acknowledge counterarguments
- Suggest specific actions or paradigm shifts
- Measured but more direct than a synthesis
Policy Brief
Problem to Evidence to Recommendations
- Executive summary (2 to 3 sentences)
- The problem in plain language
- Key evidence distilled to practical meaning
- Specific, actionable recommendations
- Short reference list with links
- 4 pages max. Clear language, no hedge words in recommendations.
Technical Report
Like a synthesis but with more methodological detail.
- Detailed methodology for any original analysis
- Subsections, figures/tables, clear headings
- Appendices for supplementary material
- Follows agency or institutional formatting when applicable
Blog Post / Outreach
Hook to Story to Takeaway
- Engaging opening (finding, question, scene)
- Short paragraphs, conversational but accurate
- Translate without dumbing down
- "We found" / "Our research shows": personal connection
- Hyperlink sources, no formal citations
- Target: college-educated, non-specialist audience
Background Document
Whatever serves the purpose.
- Rough notes, open questions, tentative ideas all fine
- Flag uncertainties explicitly
- Thinking tool, not deliverable
Citation Integration by Format
- Formal (synthesis, report, perspective): Author-date in-text, reference list at end
- Policy brief: Numbered footnotes/endnotes or inline hyperlinks
- Blog post: Hyperlinks, no formal format
- Background: Whatever's fastest
- In all cases: every reference connects to an argument. No orphan citations.
Phase 4: Review & Polish
Self-Review Checklist
Content:
- [ ] Scope covered adequately for chosen depth
- [ ] Key claims supported by evidence
- [ ] Alternative viewpoints acknowledged
- [ ] Practical implications explicit
- [ ] No hallucinated references
Voice:
- [ ] Active voice (~95%)
- [ ] No superlatives
- [ ] Measured confidence: facts direct, interpretations hedged
- [ ] Concrete verbs and specific language
- [ ] Accessible to target audience
Structure:
- [ ] Logical section flow
- [ ] Transitions connect ideas
- [ ] Conclusion synthesizes, doesn't just summarize
- [ ] Length appropriate for format
For formal documents:
- [ ] Citation density appropriate
- [ ] Mix of foundational and recent literature
- [ ] Reference list complete and accurate
Output
Default: markdown (.md). For formal deliverables, ask whether user wants markdown, .docx, or .pdf.
Name files: [topic]_[format].md (e.g., regulatory_logic_synthesis.md)
Relationship to Other Skills
Conversation -> topic-writing -> paper-research -> expert-review -> manuscript-builder
^
THIS SKILL
"Tell me about X" "Research and write "Turn these findings
-> conversation about X for me" into a paper"
-> this skill -> manuscript pipeline
A topic-writing output can feed into the manuscript pipeline later: the synthesis or background document provides a head start on Phase 1 (theme extraction) of paper-research.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: jakebrownscombe
- Source: jakebrownscombe/science-lab-AI-framework
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.