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Research Flow · griddynamics | DecimalAI

researchby griddynamics

Research Flow

griddynamics/research-flow

Source griddynamics/rosetta ↗License Apache-2.0

Workflow for deep project research with grounded references, parallel exploration, etc.

SkillScore68Maintained

Automatic

Research pack

Last verified 8/27/2026

What it changes

Passed 12 of 17 test cases with the skill, and 5 of 17 without it.

Without skill32%

With skill68%

Checks it passed that the model alone missed

Reads CONTEXT.md
Reads ARCHITECTURE.md
Reads IMPLEMENTATION.md

and 8 more in the full report

9 fixed6 passed either way6 still failing1 broke

Pass-rate lift: +36 pp
Tokens: -5%
Agent turns: 0%
Response time: -34%

Model gemini-3.6-flashMeasured 8/27/2026v415 of 22 cases passed with skill · 17 comparable

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/griddynamics-research-flow/SKILL.md https://app.decimal.ai/s/griddynamics-research-flow/SKILL.md

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

decimalai skills add griddynamics-research-flow

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

curl -fsSL --create-dirs -o .claude/skills/griddynamics-research-flow/SKILL.md https://app.decimal.ai/s/griddynamics-research-flow/SKILL.md

Raw file: /s/griddynamics-research-flow/SKILL.md ↗ · machine-readable summary at /s/griddynamics-research-flow.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 9

Prompt

Which subagent model tier is specified for reading project files in Phase 1 for feature `inventory-sync`?

What was checked, without and with the skill
Checked	Without skill	With skill
Configures subagent model to gpt-5.6-terra-medium	Missed	Passed

case-11 · gemini-3.6-flash · 8/27/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md58 linessingle file

<research_flow>

<description_and_purpose> Orchestrates deep research via meta-prompting: craft an optimized research prompt, then execute it in a dedicated subagent. </description_and_purpose>

<workflow_phases>

All Rosetta prep steps MUST be FULLY completed
USE SKILL load-project-context, orchestration, hitl
MUST ALWAYS use todo tasks ledger, ASAP. Phases are sequential. Independent tasks can run in parallel.
Orchestrator trusts the system and skills; coordinates sequence, artifacts, state, and approvals only.
Workflow state MUST be saved to agents/TEMP/<FEATURE>/research-flow-state.md file.
If /goal is set repeat phases 3-4 until goal is met.

<context_load phase="1" subagent="researcher" role="Context gatherer for research scope" subagent_required_model="gpt-5.6-terra-medium">

Read all lines from CONTEXT.md, ARCHITECTURE.md, and IMPLEMENTATION.md.
Input: user research request. Output: loaded project context.
Update research-flow-state.md.

</context_load>

<prompt_craft phase="2" subagent="researcher" role="Research prompt architect" subagent_required_model="gpt-5.6-terra-high, gpt-5.6-sol-high">

Create an optimized research prompt for the user request.
Save as research-prompt.md in FEATURE PLAN folder. Output ONLY the optimized prompt.
Input: user request + project context. Output: research-prompt.md.
Required skills: reasoning
Update research-flow-state.md.
HITL approval of research prompt before execution.

</prompt_craft>

<execute_research phase="3" subagent="researcher" role="Deep research executor" subagent_required_model="gpt-5.6-terra-medium">

Track record

Benchmark

12 / 17

test cases passed, vs 5 / 17 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 — 8/26/2026

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

griddynamics / rosetta

plugins/core-antigravity/skills/research-flow/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 8/26/2026Version v4

Other skills for the same job

Published skills whose descriptions closely match this one, with their headline benchmark lift.

griddynamics/researchTo run systematic deep research via meta-prompting — grounded references, incremental tracking, self-validation.Close match+32 pp pass-rate lift

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