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Entity Memory Extraction Skill — measured AI agent skill | DecimalAI

a5c-ai/entity-memory-extraction

SkillScore23Maintained

Entity and fact extraction for user profiling and personalization

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-entity-memory-extraction

Get this skill — curl · raw file

curl -fsSL https://app.decimal.ai/s/a5c-ai-entity-memory-extraction/SKILL.md

Raw file: /s/a5c-ai-entity-memory-extraction/SKILL.md ↗ · machine-readable summary at /s/a5c-ai-entity-memory-extraction.json ↗

In productionGlobal

how this skill behaves on real traffic · last 30 days

Runs

all versions · 30d

Used when offered

used / offered · all versions

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

Yes — +14% lift-10% tokens0% turns23% of whole cases pass with skill (5/22)

Test case	Without → With	Effect	Δ tokens	Δ turns
case-07	✗→✓	▲ Improved	-37%	0%
case-20	✗→✓	▲ Improved	8%	0%
case-22	✗→✓	▲ Improved	35%	0%
case-14	✓→✓	＝ Same ✓	18%	0%
case-19	✓→✓	＝ Same ✓	-58%	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/specializations/ai-agents-conversational/skills/entity-memory-extraction/SKILL.md

View on GitHub ↗

License MITImported 7/31/2026Version v1

Skill contents

SKILL.md

Entity Memory Extraction Skill

Capabilities

Extract entities from conversations
Build and update user profiles
Track preferences and facts
Implement entity disambiguation
Design entity relationship graphs
Configure extraction rules and schemas

Target Processes

long-term-memory-management
conversational-persona-design

Implementation Details

Extraction Types

Named Entities: People, places, organizations
User Preferences: Likes, dislikes, interests
Facts: Stated information about user
Temporal: Dates, events, schedules
Relationships: Connections between entities

Configuration Options

Extraction model selection
Entity schema definition
Confidence thresholds
Update policies
Storage backend

Best Practices

Define clear entity schemas
Handle entity conflicts
Implement confidence scoring
Regular profile validation
Privacy considerations

Dependencies

langchain
spacy (optional)
Custom extraction models

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