// Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline.
Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline.
Twenty-minute conversational diagnostic for assessing a company's world-model readiness. Use when the user wants to map their company to the right world-model paradigm, identify where the highest-fidelity signal lives, audit the boundary layer between facts and interpretation, flag simulated-judgment exposure, and leave with a first/second/third build sequence. Works in plain chat and compounds when Open Brain search/capture tools are present.
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.
Conversation-first workflow for turning tacit work patterns into a structured operating model. Use when the user wants to map how their work actually runs, generate USER.md / SOUL.md / HEARTBEAT.md artifacts, or build an agent-ready model of rhythms, recurring decisions, dependencies, institutional knowledge, and friction. Requires base Open Brain search/capture tools plus the paired Work Operating Model recipe MCP tools.
Use when the user wants a weekly structural diff on AI, software, or another fast-moving market. Starts from 10 suggested categories and 30 suggested companies when no watchlist exists, then adapts the scan using Open Brain memory, current priorities, and prior digests. Best for prompts like "run my weekly signal diff", "what changed this week that matters to me", "track this market", or "turn this week's news into structural shifts". Optional live search upgrade: if OpenRouter access is available, prefer the Perplexity Sonar family for fresh web-grounded retrieval with citations.
Syncs Claude Code's local memory system to Open Brain. Triggers whenever memories are saved via dreaming, autodream, or explicit "remember this" requests. After every local memory file write, captures the same content to Open Brain via mcp__open-brain__capture_thought so that memories are accessible from all connected AI clients (ChatGPT, Claude Desktop, Codex) and across all devices. Trigger on: memory saves, autodream, dreaming, "remember", "save to memory", or any write to the .claude/projects/*/memory/ directory.
| name | nbj-ob1-agent-memory-openclaw |
| description | Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline. |
Use this skill when an OpenClaw task has access to NBJ OB1 Agent Memory tools. OB1 is the continuity layer. OpenClaw is the runtime that performs the work.
Recall before meaningful work. Write back only compact, provenance-labeled operational memory after the work is complete.
Use the OpenClaw plugin tools when available:
openbrain_recallopenbrain_writebackopenbrain_report_usageopenbrain_inspect_memoryopenbrain_list_review_queueopenbrain_review_memoryopenbrain_get_recall_traceIf the tools are unavailable, continue the task normally and note that no OB1 recall or write-back occurred. Do not invent remembered facts.
Before meaningful work, call openbrain_recall with:
task_typequeryentitiesscopelimitssensitivityPrefer project-scoped recall when a project is known. Keep project_only true by default. Keep include_unconfirmed false unless the user explicitly asks for evidence-level context or the task is review/debugging.
Do not pull personal or channel-only memory into team work unless the user explicitly shared it.
Use returned memories according to use_policy:
can_use_as_instruction: the memory can guide behavior directly.can_use_as_evidence: the memory can inform reasoning, but it is not binding.requires_user_confirmation: surface the claim before relying on it.If two memories conflict, prefer user-confirmed or trusted imported memory over inferred or generated memory. If the conflict matters, ask for confirmation or proceed with the lower-risk assumption.
After the task completes, call openbrain_writeback with compact categories:
decisionsoutputslessonsconstraintsunresolved_questionsnext_stepsfailuresartifactsDo not write raw transcripts, model reasoning traces, secret-like values, credential strings, large code blocks, or private customer data dumps. Store summaries and source references.
Agent-written memory starts as evidence by default. It can become instruction only when a human confirms it or it is imported from a trusted source.
Decision memories can become future instructions only when they are user_confirmed or imported from a trusted source. Model-generated lessons are evidence or suggestions until reviewed.
After recall, report which memory IDs were used or ignored with openbrain_report_usage. This preserves the recall trace so bad behavior can be debugged later.
For pull request review tasks, recall:
Write back:
Do not store the full diff. Store artifact references to PRs, commits, or files.
For long-running TaskFlows, recall:
Write back:
The write-back should let another agent continue without reading the full transcript.