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A5c AI/Smart Routing — measured AI agent skill | DecimalAI

a5c-ai/smart-routing

SkillScore64Maintained

Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.

by a5c-ai

Links this skill to your agents and keeps it current with the author’s updates.

Automatic

AI Engineer pack

decimalai skills pull a5c-ai-smart-routing

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-smart-routing/SKILL.md

Raw file: /s/a5c-ai-smart-routing/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-smart-routing.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

No production data for this skill yet — usage numbers appear here once agents start running it.

Anonymized aggregate across every org using this skill — proof from real production use, not a demo.

Does this skill help? · Benchmark: with vs. withoutsign in to run this on your agents

22 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 9d ago

—-37% tokens0% turns64% of whole cases pass with skill (14/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-02	✗→✓	▲ Improved	17%	0%
case-04	✗→✓	▲ Improved	272%	0%
case-07	✗→✓	▲ Improved	-31%	0%
case-08	✗→✓	▲ Improved	-57%	0%
case-09	✗→✓	▲ Improved	-68%	0%

Showing 5 of 22 cases

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 7/31/2026

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

a5c-ai / babysitter

library/methodologies/ruflo/skills/smart-routing/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

When tasks range from simple transforms to complex multi-file changes
Reducing latency for common code transformations
Learning from routing history to improve future decisions

Routing Tiers

| Tier | Target | Latency | Cost | |------|--------|---------|------| | Agent Booster | Simple transforms (var-to-const, add-types) | <1ms | $0 | | Medium | Standard coding tasks | ~500ms | Low | | Complex | Multi-agent swarm coordination | 2-5s | Higher |

Agent Booster Transforms

var-to-const - Variable declaration modernization
add-types - TypeScript type annotation insertion
add-error-handling - Try/catch wrapper insertion
async-await - Promise chain to async/await conversion
extract-function - Code block extraction to named functions
add-jsdoc - Documentation generation

Agents Used

agents/optimizer/ - Performance and cost optimization
agents/architect/ - Complex task decomposition

Tool Use

Invoke via babysitter process: methodologies/ruflo/ruflo-task-routing

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Other measured skills in the registry, with their headline benchmark lift.