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Answering Research Questions · brycewang-stanford | DecimalAI

researchby brycewang-stanford

Answering Research Questions

brycewang-stanford/Answering Research Questions

Source brycewang-stanford/Auto-Empirical-Research-Skills ↗License NOASSERTION

Main orchestration workflow for systematic literature research - search, evaluate, traverse, synthesize

SkillScore73Maintained

Automatic

Research pack

Last verified 8/8/2026

What it changes

Passed 16 of 22 test cases with the skill, and 6 of 22 without it.

Without skill27%

With skill73%

Checks it passed that the model alone missed

Assigns a relevance score of 8 or higher.
Writes filtered outputs to relevant-papers.json.
Provides summary status updates every 10 papers screened.

and 8 more in the full report

10 fixed6 passed either way6 still failing0 broke

Pass-rate lift: +45 pp
Tokens: +176%
Agent turns: 0%
Response time: -30%

Model gemini-3.6-flashMeasured 8/8/2026v116 of 22 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-answering-research-questions/SKILL.md https://app.decimal.ai/s/brycewang-stanford-answering-research-questions/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add brycewang-stanford-answering-research-questions, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/brycewang-stanford-answering-research-questions/ and pins it in .decimal/skills.lock

decimalai skills add brycewang-stanford-answering-research-questions

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/brycewang-stanford-answering-research-questions/SKILL.md https://app.decimal.ai/s/brycewang-stanford-answering-research-questions/SKILL.md

Raw file: /s/brycewang-stanford-answering-research-questions/SKILL.md ↗ · machine-readable summary at /s/brycewang-stanford-answering-research-questions.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 10

Prompt

Consolidate our reviewed literature log into 'relevant-papers.json'. The evaluated DOIs have scores: Paper 1 (9), Paper 2 (8), Paper 3 (7), Paper 4 (6), Paper 5 (4).

What was checked, without and with the skill
Checked	Without skill	With skill
Includes only papers scoring 7 or higher in relevant-papers.json.	Missed	Passed

case-08 · gemini-3.6-flash · 8/8/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md614 linessingle file

Answering Research Questions

Overview

Orchestrate the complete research workflow from query to findings.

Core principle: Systematic, trackable, comprehensive. Search → Evaluate → Traverse → Synthesize.

Announce at start: "I'm using the Answering Research Questions skill to find [specific data] about [topic]."

The Process

Phase 1: Parse Query

Extract from user's request:

Keywords:

Main concepts (e.g., "BTK inhibitor", "selectivity")
Synonyms and alternatives (e.g., "Bruton tyrosine kinase")
Related terms (e.g., "off-target", "kinase panel")

Data types needed:

Specific measurements (IC50, KD, EC50, etc.)
Methods or protocols
Structures or sequences

Track record

Benchmark

16 / 22

test cases passed, vs 6 / 22 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

brycewang-stanford / Auto-Empirical-Research-Skills

skills/05-kthorn-research-superpower/research/answering-research-questions/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/2/2026Version v1

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Answering Research Questions

Overview

The Process

Phase 1: Parse Query

Track record

Benchmark

Adoption

SkillSafety

Source

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