全部能力

Guides implementation of agent memory systems, compares production frameworks (Mem0, Zep/Graphiti, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention. Use when the user asks to "implement agent memory", "persist state across sessions", "build knowledge graph for agents", "track entities over time", "add long-term memory", "choose a memory framework", or mentions temporal knowledge graphs, vector stores, entity memory, adaptive memory, dynamic memory or memory benchmarks (LoCoMo, LongMemEval).

Document brownfield projects for AI context. Use when the user says "document this project" or "generate project docs"

Use this skill when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.

Use when designing animations for educational platforms, e-learning, tutoring apps, or skill-building experiences

Screen incoming NDAs and classify them as GREEN (standard), YELLOW (needs review), or RED (significant issues). Use when a new NDA comes in from sales or…

Query knowledge artifacts across all locations. Triggers: "find learnings", "search patterns", "query knowledge", "what do we know about", "where is the plan".

Create a detailed execution plan/spec/prd for implementing features or refactors in a codebase by leveraging existing research in the codebase.

Orchestrate multi-phase deep research with web search, memory retrieval, pattern matching, and synthesis into structured findings

Look up current research information using parallel-cli search (primary, fast web search), the Parallel Chat API (deep research), or Perplexity…

Run the SPARC Specification phase — gather requirements, define acceptance criteria, identify constraints, and store the spec in memory

Conduct market research on competition and customers. Use when the user says they need market research

Aggregate and display system metrics with anomaly detection for a time period

Technical documentation specialist and knowledge curator. Use when the user asks to talk to Paige or requests the tech writer.

Extract entities and relations from source files to build a knowledge graph

Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal…

Create and manage Cognitum Seed device fleets with firmware policies

Run the SPARC Refinement and Completion phases — review code, improve test coverage, validate against specification, and generate documentation

Detect and classify candlestick patterns from ingested OHLCV data

Pathfinder traversal of the knowledge graph starting from a seed entity

Use immediately for any pasted OpenClaw GitHub issue or PR URL/number, and for OpenClaw issue/PR review, triage, duplicate search, opener identity/who wrote…