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Dev Team · evolution-foundation | DecimalAI

agent toolingby evolution-foundation

Dev Team

evolution-foundation/dev-team

Source evolution-foundation/evo-nexus ↗License NOASSERTION

On-demand spawning of multiple engineering agents in parallel for large-context work.

NewMaintained

Automatic

Coding pack

Last verified 8/20/2026

What it changes

6 of 22 test cases passed with the skill.

Pass-rate lift: —
Tokens: +20%
Agent turns: 0%
Response time: -12%

Model gemini-3.6-flashMeasured 8/20/2026v16 of 22 cases passed with skill · 6 comparable

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

Lift withheld: 6 comparable cases; this report requires 8.

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/evolution-foundation-dev-team/SKILL.md https://app.decimal.ai/s/evolution-foundation-dev-team/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add evolution-foundation-dev-team, 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/evolution-foundation-dev-team/ and pins it in .decimal/skills.lock

decimalai skills add evolution-foundation-dev-team

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

curl -fsSL --create-dirs -o .claude/skills/evolution-foundation-dev-team/SKILL.md https://app.decimal.ai/s/evolution-foundation-dev-team/SKILL.md

Raw file: /s/evolution-foundation-dev-team/SKILL.md ↗ · machine-readable summary at /s/evolution-foundation-dev-team.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 2

Prompt

We need a comprehensive audit of our payment gateway module across security, performance, test coverage, and architecture. Since this involves evaluating dozens of files across separate domains, split the work across concurrent sub-investigations. Provide a report containing a summary of each individual stream's findings, synthesized cross-stream insights, and a clear final recommendation, saving the resulting document into the research directory at workspace/development/research/.

What was checked, without and with the skill
Checked	Without skill	With skill
Saves output to workspace/development/research/[C]team-payment-gateway-audit-2026-03-30.md or matching [C]team-{topic}-{date}.md pattern	Missed	Passed
Includes a Top-level Heading for Team Investigation with topic	Missed	Passed
Contains distinct subsections for Streams, Cross-stream Findings, and Recommendation	Passed	Passed

case-01 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md58 linessingle file

Dev Team

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

On-demand parallel agent spawning. When a task is too big for one agent and the work can be split into independent streams, spin up multiple engineering agents working in parallel.

Use When

Multi-file refactor across 10+ files in different modules
Codebase audit that benefits from parallel exploration
Performance investigation across multiple subsystems
Documentation pass across many files

Do Not Use When

Sequential dependencies (B needs A's output)
Single-file change
Task fits within a single agent's context

Workflow

Decompose the task into N independent streams
Assign each stream to the most appropriate agent (apex / bolt / lens / etc.)
Spawn agents in parallel via Task tool
Collect results as they return
Synthesize into a unified output
Save to workspace/development/research/[C]team-{topic}-{date}.md

Streams Example

For "audit the entire auth module":

Stream 1: @scout-explorer → map all auth files
Stream 2: @vault-security → security audit
Stream 3: @lens-reviewer → code quality review
Stream 4: @grid-tester → test coverage analysis
Stream 5: @apex-architect → architecture analysis

All spawn in parallel, results combine into one report.

Output

Track record

Benchmark

6 / 22

test cases passed with the skill

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 — 8/3/2026

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

evolution-foundation / evo-nexus

.claude/skills/dev-team/SKILL.md

View on GitHub ↗

License NOASSERTIONImported 8/3/2026Version 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

Dev Team

Use When

Do Not Use When

Workflow

Streams Example

Output

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills