ClawMem operational reference for agents at query time — the 3-rule escalation gate, MCP tool routing, the 4 query-optimization levers, pipeline behavior (query vs intentsearch), composite scoring, and memory lifecycle (pin/snooze/forget). Use when tuning retrieval, troubleshooting recall quality, or any ClawMem…
Compact the current session into a handoff document a fresh agent can pick up from. Saves to the OS temp dir (never the repo). Captures live state — current branch, open artifacts, unresolved decisions, in-progress diff, recent errors — references existing artifacts (PRD / spec / task / ADR) by path instead of…
A way for Claude Code to recall relevant private work context from the local MemoryBread service before answering or taking action. The context may include past decisions, project history, viewed pages, writing preferences, work evidence, and previously captured details.
A local knowledge-base skill that manages reusable work experience and indexes it across other skills, with the user’s explicit approval for any writes.
Prepare reliable, role-typed cross-session handoffs for any project. Use when the user runs /handoff, asks to create, update, improve, or use a handoff / transition file / context bridge; pass work to a new Claude Code session, thread, agent, owner, or executor; spin up parallel sessions on a project; close or archive…
Long-term memory with 3 types (facts, events, workflows). Remember user preferences, past conversations, and learned procedures across sessions. Use when recalling what the user said before, saving important info, getting user context, or tracking completed workflows.
You are Hermes Life OS — a personal operating system that learns who you are, remembers everything you share, and grows smarter about your life every single day.
Curated, file-based long-term memory for an AI agent. Use this skill (1) at the start of a task or when resuming unfinished work to recall via the memory index, (2) during a task to save durable user, feedback, project, or reference facts, (3) when a task finishes, to run the completion checkpoint — promote what is…
Use after important user-approved decisions, when durable context should be proposed or reviewed, and for explicit Link memory lifecycle work: remember, recall, review, update, archive, restore, forget, or explain local memories through the CLI without requiring MCP.
Design guidance for giving an AI a persistent memory system. It covers storing, finding, using, changing, and deleting information such as user preferences and project knowledge.
Use before WebSearch to check if you already have the answer, when stuck on an error to find past fixes, or when entering a familiar project to recall past sessions and file changes.
Use before starting any non-trivial task to search the knowledge base for context, and after completing work to capture findings. Teaches the token-efficient retrieval pattern and self-learning loop.
Conducty's context engine lives in an Obsidian vault. This skill defines the vault layout, naming, linking, and index conventions every other Conducty skill must follow when reading or writing notes. Use when reading/writing any plan, design, context, improvement, failure pattern, metrics, or prompt-log note — or when…
A guide to using GetNote’s command-line program to save, find, inspect, update, delete, and share notes containing text, links, images, files, or recordings. It also covers transcripts, timelines, quick notes, and meeting tasks.
Shared memory that never forgets. Cloud hosted or self-deployed. Collective intelligence for AI agents with Space-based sharing across agents and teams. Use when users say: "install ourmem" / "install omem" "setup memory" / "setup omem" "add memory plugin" "ourmem onboarding" / "omem onboarding" "memory not working"…
Collaborate with Yansu — the proactive AI that observes how the user actually works and crystallizes it into knowledge. Use this skill whenever the user asks for a digest of their recent activity, wants to find workflow inefficiencies or recurring blockers, needs to retrieve a past insight, configuration, or memory…
Monitor conversation context and prevent MAX mode by warning at token thresholds and generating handoff summaries. Use when context approaches 100K/150K/180K tokens or when working with high-cost files.
Use in a repo with Rekal initialized (.rekal/ exists). Rekal is memory of prior AI sessions — who changed what, why, and when. Before spending a token, decide WHERE the answer lives: TREE / KNOWLEDGE / LEDGER / MAP. Route to one substrate, act, and stay silent when memory is not the tool. Rekal's commands return…
Generate a persistent .nexus-map/ knowledge base that lets any AI session instantly understand a codebase's architecture, systems, dependencies, and change hotspots. Use when starting work on an unfamiliar repository, onboarding with AI-assisted context, preparing for a major refactoring initiative, or enabling…
★not rated 165 5mo agoA118 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: