brainstorming
Structured design dialogue that validates ideas before implementation begins.
kip-cognitive-nexus
Persistent graph-based memory for AI agents via KIP (Knowledge Interaction Protocol). Provides retrieval-first memory operations (KQL), durable writes (KML), schema discovery (META), and memory hygiene patterns. Use whenever the agent needs to consult or update persistent memory, especially for: ...
Full skill instructions
You have a Cognitive Nexus (external persistent memory) accessible via KIP commands.
You are not stateless—you have persistent memory. Your job:
# Single command
python scripts/execute_kip.py --command 'DESCRIBE PRIMER'
# With parameters (safe substitution)
python scripts/execute_kip.py \
--command 'FIND(?p) WHERE { ?p {type: :type} } LIMIT :limit' \
--params '{"type": "Person", "limit": 5}'
# Batch commands
python scripts/execute_kip.py \
--commands '["DESCRIBE PRIMER", "FIND(?t.name) WHERE { ?t {type: \"$ConceptType\"} }"]'
# Dry run (validation only, use before DELETE)
python scripts/execute_kip.py --command 'DELETE CONCEPT ?n DETACH WHERE {...}' --dry-run
Environment: KIP_SERVER_URL (default: http://127.0.0.1:8080/kip), KIP_API_KEY (optional)
DESCRIBE PRIMER -- Global summary + domain map
DESCRIBE CONCEPT TYPE "Person" -- Type schema
SEARCH CONCEPT "alice" LIMIT 5 -- Fuzzy entity search
FIND(?p, ?p.attributes.role) WHERE { ?p {type: "Person"} } LIMIT 10
FIND(?e) WHERE { ?e {type: "Event"} (?e, "belongs_to_domain", {type: "Domain", name: "Projects"}) }
UPSERT {
CONCEPT ?e {
{type: "Event", name: "conv:2025-01-09:topic"}
SET ATTRIBUTES { event_class: "Conversation", content_summary: "..." }
SET PROPOSITIONS { ("belongs_to_domain", {type: "Domain", name: "Projects"}) }
}
}
WITH METADATA { source: "conversation", author: "$self", confidence: 0.9 }
DELETE CONCEPT ?n DETACH WHERE { ?n {type: "Event", name: "old_event"} }
-- Always use --dry-run first; DETACH is mandatory
| Store ✓ | Do NOT Store ✗ |
|---|---|
| Stable preferences, goals | Secrets, credentials |
| Identities, relationships | Raw transcripts (use raw_content_ref) |
| Decisions, commitments | Low-signal chit-chat |
| Corrected facts | Highly sensitive data |
| Layer | Type | Lifespan | Example |
|---|---|---|---|
| Episodic | Event | Short → consolidate | "User asked about X on 2025-01-09" |
| Semantic | Person, custom | Long-term | "User prefers dark mode" |
Consolidation: After storing an Event, ask "Does this reveal something stable?" If yes, extract to durable concept.
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