Ready to supercharge your AI agents?

Install any skill in seconds. Free to start, no credit card required.

Survey Generator · rohitg00 | DecimalAI

researchby rohitg00

Survey Generator

rohitg00/survey-generator

Source rohitg00/pro-workflow ↗License Not recorded

Compile a structured literature survey on any AI/ML topic. Agent curates a research bundle (taxonomy + sections + bibliography of real papers) from a public anchor resource, then a chosen LLM generates the survey artifact. Output target is a wiki page (markdown), not a one-off HTML — survey lands in `<wiki>/derived/surveys/<slug>.md` with full bibliography rows in `sources.md`. Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom OpenAI-compat).

SkillScore77Maintained

Automatic

Research pack

Last verified 8/13/2026

What it changes

Passed 15 of 20 test cases with the skill, and 5 of 20 without it.

Without skill23%

With skill77%

Checks it passed that the model alone missed

Uses ID prefix src-bib- for bibliography keys.
Appends bibliography entries to db-wiki/sources.md.
Distinguishes survey sources using the src-bib- prefix.

and 9 more in the full report

12 fixed5 passed either way5 still failing0 broke

Pass-rate lift: +55 pp
Tokens: +33%
Agent turns: 0%
Response time: -36%

Model gemini-3.6-flashMeasured 8/13/2026v1 · latest is v217 of 22 cases passed with skill · 20 comparable

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

This benchmark measured an earlier version of the skill.

A newer attempt on gemini-3.6-flash on 10/2/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.

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/rohitg00-survey-generator/SKILL.md https://app.decimal.ai/s/rohitg00-survey-generator/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add rohitg00-survey-generator, 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/rohitg00-survey-generator/ and pins it in .decimal/skills.lock

decimalai skills add rohitg00-survey-generator

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

curl -fsSL --create-dirs -o .claude/skills/rohitg00-survey-generator/SKILL.md https://app.decimal.ai/s/rohitg00-survey-generator/SKILL.md

Raw file: /s/rohitg00-survey-generator/SKILL.md ↗ · machine-readable summary at /s/rohitg00-survey-generator.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

Where should generated markdown survey documents be written when executing the survey artifact generator on `agent-memory` wiki for topic 'planner-agents'?

What was checked, without and with the skill
Checked	Without skill	With skill
Places output files in agent-memory/derived/surveys/ path.	Missed	Passed

case-07 · gemini-3.6-flash · 8/13/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md129 lines3 filesincludes scripts

Survey Generator

Provider-agnostic literature-survey artifact generator. Output flows into a pro-workflow wiki, not a standalone HTML file — survives sessions and indexes for FTS5 retrieval.

Diff vs dair-academy version

dair	pro-workflow
Hardcoded Kimi K2.6 on Fireworks	Provider-agnostic (Anthropic/OpenAI/OpenRouter/Fireworks/custom)
Output = single-file HTML with inline SVG	Output = wiki markdown page + bibliography rows in `sources.md`
One-off artifact, no follow-up	Persists in FTS5 index; reused by `wiki-research-loop`
Manual run only	Composable with `/wiki research` for auto-bibliography expansion

When to use

"Survey on " / "lit review on "
Onboarding a new domain — generate the map-of-the-field
After a wiki has 10-30 sources, compile a synthesis page over them
Pre-step before /wiki research runs: gives the loop a high-quality seed bundle

Inputs

Input	Required	Description
`topic`	yes	"Reasoning Models", "Agentic Engineering"
`source_url`	yes	Public anchor: arXiv survey, GitHub awesome-list, canonical blog post
`--wiki <slug>`	yes	Target wiki for the artifact
`--bibliography-size N`	no	Default 20. 40-50 comprehensive, 80-100 exhaustive
`--section-count N`	no	Default 6-10 numbered sections
`--provider name`	no	Override provider (default: first explicitly configured provider)
`--model id`	no	Override model

Workflow (the agent runs these in order)

Step 1 — Read the anchor

WebFetch source_url. Extract subtopics + cited papers. For GitHub awesome-lists, walk README + linked papers files. For arXiv survey PDFs, use abstract + ToC.

Step 2 — Build research_bundle.json

Track record

Benchmark

15 / 20

test cases passed, vs 5 / 20 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 v5 — 10/1/2026

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

rohitg00 / pro-workflow

skills/survey-generator/SKILL.md

View on GitHub ↗

Imported 10/1/2026Version v2Bundled 2 files · scripts

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

Survey Generator

Diff vs dair-academy version

When to use

Inputs

Workflow (the agent runs these in order)

Step 1 — Read the anchor

Step 2 — Build research_bundle.json

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills