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LlamaIndex Agent Skill — measured AI agent skill | DecimalAI

a5c-ai/llamaindex-agent

SkillScore100Maintained

LlamaIndex agent and query engine setup for RAG-powered agents

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-llamaindex-agent

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-llamaindex-agent/SKILL.md

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

In productionGlobal

how this skill behaves on real traffic · last 30 days

Runs

—

no usage data yet

Used when offered

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offered 175 · activation not measurable for prompt-injection usage

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

24 test cases from the publisher’s eval.yaml · each run twice on gemini-3.6-flash — with the skill injected, then without · last run 8d ago

Yes — +13% lift-14% tokens0% turns100% of whole cases pass with skill (24/24)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-04	✗→✓	▲ Improved	-21%	0%
case-10	✗→✓	▲ Improved	-14%	0%
case-13	✗→✓	▲ Improved	-13%	0%
case-01	✓→✓	＝ Same ✓	-31%	0%
case-02	✓→✓	＝ Same ✓	-46%	0%

Showing 5 of 24 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/specializations/ai-agents-conversational/skills/llamaindex-agent/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

LlamaIndex Agent Skill

Capabilities

Set up LlamaIndex query engines
Configure ReAct agents with tools
Implement OpenAI function calling agents
Design sub-question query engines
Set up multi-document agents
Implement chat engines with memory

Target Processes

rag-pipeline-implementation
knowledge-base-qa

Implementation Details

Agent Types

ReActAgent: Reasoning and acting agent
OpenAIAgent: Function calling agent
StructuredPlannerAgent: Plan-and-execute style
SubQuestionQueryEngine: Complex query decomposition

Query Engine Types

VectorStoreIndex query engine
Summary index query engine
Knowledge graph query engine
SQL query engine

Configuration Options

LLM selection
Tool definitions
Memory configuration
Verbose/debug settings
Query transform modules

Best Practices

Appropriate index selection
Clear tool descriptions
Memory for multi-turn
Monitor query performance

Dependencies

llama-index
llama-index-agent-openai

Want to see if a5c-ai/llamaindex-agent would activate on your phrasing? Try it before you install — no LLM call, no signup.

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