131 skills · sorted by relevance
Use Memori through MCP, a protocol connecting agents to tools, to retrieve past decisions and preferences, summarize ongoing work, and resume after conversation compression. It also guides selective long-term memory storage and usage limit checks.
Use Memori Cloud from Claude Code to consult stored preferences, decisions, and project history before substantive work, then save the exchange afterward. Recall can span sessions and use filters for dates and information types.
Turn OpenClaw conversations, actions, and tool history into structured long-term memory. Agents can retrieve past facts, decisions, and summaries when needed, helping them continue work across sessions and recover context after it is shortened.
Find and delete selected memories stored in agentmemory after showing the matches and receiving explicit confirmation. It checks deletion results and distinguishes stored memories from lessons, observations, and complete session records.
Store project files and conversation transcripts as searchable memories while preserving their original text. Retrieve past decisions, code, and notes by meaning, inspect stored content, and review how well memories are organized.
Manage stored agent memories for backups, project transfers, and team knowledge sharing. Work with RVF, a portable memory format, to export and import records, upgrade formats, inspect storage statistics, and transfer patterns between local projects.
Extract information from a project or conversation and store it as memories in MemPalace for later retrieval. The skill follows the step-by-step mining instructions returned by the MemPalace command.
Memory consolidation pass: orient on existing memories, gather signal from logs/transcripts, merge updates into topic files, prune index. Use on 'dream', 'consolidate memory', 'clean up memories', 'prune memories', 'memory maintenance', or when memories feel stale.
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Move memories, persona files, skills, and compatible settings from OpenClaw into Hermes. Preview the migration, choose how to handle conflicts and supported secrets, and receive a report of migrated, archived, and skipped items.
Store and retrieve knowledge across agent sessions with AgentDB. Organize memories into tiers, search learned patterns, combine related memories into context, and record causal links to support later work.
Bring exported memories from another AI assistant into Claude. Organize profile, project, relationship, and topic facts, exclude sensitive details and instructions, then ask for confirmation before adding information without replacing existing memories.
Find information across memories, projects, and conversations already stored in MemPalace. Use semantic search, which looks for related meaning, by following the search instructions returned by the MemPalace command.
Investigate incorrect, missing, or unexpectedly changed OpenViking memories by tracing memory files back to archived change records and, when needed, source messages. Return an evidence trail, identify gaps, and suggest next steps without modifying data.
Turn law study outlines, notes, or textbook excerpts into flashcards, then practice one question at a time in chat. Self-assessment updates learning stages and review dates, while subject-level statistics highlight concepts that need more work.
Assessing privacy risks in large language model outputs including training data memorisation, PII leakage in generated text, prompt injection leading to data extraction, and hallucinated personal data. Covers output filtering, guardrails, and monitoring. Keywords: LLM privacy, output risk, memorisation, PII leakage, prompt injection, hallucinated PII.
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Audit, classify, and selectively forget stored memories. Covers memory enumeration and classification by type/age/access frequency, staleness detection for outdated references, fidelity checks using external anchors, a decision tree for selective withdrawal, tombstoned deaccession so removed content stays recoverable, counter-memory inoculation for failed strategies that would otherwise be re-derived, preemptive filtering rules for what should never become memories, and an audit trail so forgetting itself is reviewable. Use when memory has grown large and uncurated, when project state has shifted significantly since memories were written, when retrieval quality has degraded, or as periodic maintenance alongside manage-memory.
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Create an anniversary photo essay as an HTML slide deck, combining a couple’s memories and turning points. Use a coordinated black, pink, and cream design to tell a decade-long story for the couple, family, and friends.
Search persistent claude-mem memories to recover past decisions, solutions, and work history. Review compact search results, surrounding context, and selected details, or let the tool handle these steps automatically for a clear query.
Understand how claude-mem turns Claude's actions into compact notes and adds relevant memories to later prompts. Learn when this starts, where local data is stored, and which external services receive information.
Find stored Ruflo memories by meaning, keywords, or an optional ranking method. Search across storage groups, retrieve past solutions and task context, and see which search method actually ran, including any fallback.
Import Claude Code auto-memory into AgentDB and search past notes by meaning across sessions and projects. The skill checks import status, consolidates near-duplicate entries, and returns search results with their memory sources identified.
Save user-provided or approved decisions, constraints, and facts for an AI team, then retrieve them with their sources. Keep memories separate by team and tenant, and report whether retrieval used a degraded search mode.
Set up and maintain MemPalace as a searchable store of project and conversation memories. Configure a private installation, a shared hub, or a hub client, connect agent tools, and audit how stored information is organized.
Find context from past coding sessions in Hindsight long-term memory. Reuse memories already loaded for the session, search for missing details, and reason over accumulated records when answering questions about decisions, project context, or preferences.