A read-only review of project memories, notes, instructions, documents, and selected session records that produces a detailed report and a browser-viewable HTML report. It suggests ideas and insights but does not apply changes.
Memory consolidation and defragmentation for long-term memory maintenance. Use when asked to consolidate memories, defrag memory, run REM sleep, clean up memory files, or process session logs into durable memory. Also use periodically during heartbeats for memory maintenance.
Capture and retrieve durable project memory for spec-driven engineering, including decisions, constraints, setup steps, root causes, fixes, patterns, and reusable snippets through lightweight local indexing and keyword retrieval. Use this whenever the user wants to save knowledge for later, look up prior solutions…
Automatically prepare fidelity-first, bounded context when users paste text, attach files or folders, provide webpages or PDFs for Markdown conversion, continue long conversations, or supply documents containing images and complex tables. Route each input through Text, Hybrid, or Source; reduce exact or…
Use when resuming work after chat loss, switching AI models, migrating context to a new agent or workspace, or maintaining long-running research and project memory across sessions. Manages roadmap, decision log, hypotheses, research evidence, and recovery checkpoints as separate canonical files so no single transcript…
Reduce Claude AI token consumption by 5x-27x using prompt-native workflows and structural code manifests. Forces Claude to reason from CONTEXTMANIFEST.md first, fetch max 3 files per turn, and output in a strict compressed format. Use when user says optimize context, reduce tokens, context optimizer, manifest, blast…
Measure and compact an oversized agent-context file (CLAUDE.md, .cursorrules, AGENTS.md, a system prompt) without losing rules, or safely run reversible bounded, reversible ablation when intentional/aggressive context removal is requested. Triggers: "CLAUDE.md too big", "over the char limit", "context file too large"…
Search and browse AI coding assistant chat history across providers (Claude Code, Codex CLI, Cursor). Find past conversations, inject historical context into the current session, and search across all chat records. Powered by the ai-history CLI tool.
Search, inspect, and honestly resume local AI conversations through AI Conversation Hub, and initialize or maintain repository task contracts for substantial multi-session or multi-agent projects with explicit Git delivery ownership. Use when the user asks what another agent discussed, wants to continue a local…
Installable Codex skill that turns Codex CLI into a long-term personal assistant with global memory, project memory, lightweight bootstrap, and safe incremental updates.
A recipe for building a model of a user's preferences from an AI agent's conversation logs. It organizes decisions and outcomes into files that can inform memory, rules, or system prompts.
Use whenever the conversation involves the user's projects, systems, infrastructure, people, past decisions, or recurring problems — even when memory is not explicitly mentioned. Trigger on possessives and project references ("my project", "our server", "remember when we", "last time"), named systems and services in…
Local, API-key-free persistent memory over MCP (SQLite + FTS5, no LLM/embeddings). Use when the user asks to remember, recall, or search something persistent across sessions ("hafızaya al", "hatırla", "bunu unutma", "remember this", "what did I say about..."), or wants to set up/troubleshoot the memorry MCP server…
Mandatory long-term memory workflow for Codex, Claude Code, and MCP clients backed by the local Ariadne server (Qdrant + bge-m3). Always use at the start or resumption of substantive project work, after context compaction, when prior work or decisions may matter, and immediately after durable decisions, gotchas…
Persistent memory across sessions. Remember facts, recall them later with semantic search, and share knowledge between agents. Use when you need to store information for later, load context from past sessions, or forget outdated memories. Five commands: remember, recall, context, forget, share.
A session-resume skill that reads saved state and recent automatic logs to identify unfinished work. Session state is a record of what was in progress before a restart.
Use when the user wants to find, read, save, or be reminded about anything in their MarkIt library (their personal saved-links-and-notes memory), or mentions MarkIt at all. Covers searching well, saving with context, managing reminders, and feedback etiquette over the MarkIt MCP connection.
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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: