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from mnemonic
Installs and configures a filesystem-backed mnemonic memory system for Claude-style agents, creating directory structure, CLAUDE.md hooks, and an initial contex
This skill configures a persistent, filesystem-based memory system (mnemonic) for Claude-style agents. It creates an idempotent directory structure, writes a user- and project-level CLAUDE.md memory protocol, initializes a git-backed memory store, and seeds an initial context memory so agents can search and capture memories across sessions.
Use this when you want an agent to maintain cross-session knowledge without external services — for onboarding projects, enabling proactive memory capture, or standardising memory namespaces across an organization. Run it once per project (safe to re-run).
Best suited for Claude-style agents or any LLM workflow that reads/writes local CLAUDE.md and filesystem memory (developers running local agent tooling).
Project setup skill group for scaffolding new projects and generating workflow files (CLAUDE.md, AGENTS.md, Plans.md). Contains only a SKILL.md with routing instructions to sub-skill doc.md files — no bundled scripts or referenced code files. Instructions are vague and reference doc.md files that aren't included, making the skill non-functional out of the box. Content is mostly in Japanese, limiting accessibility.
Skill is a meta/router that points to 5 sub-skills via doc.md references, but none of those files are included. Essentially a shell with no implementation. The SKILL.md frontmatter is valid and has good metadata. Security is high because there's nothing executable to audit — no scripts, no shell commands, no network calls. Architecture is below average due to missing referenced files and lack of separation of concerns.
Mnemonic Search
Search and synthesize across mnemonic memory files (namespaces, tags, types, full-text) to answer questions and surface sources.
Mnemonic — Memory & Capture Core
Agent memory/capture workflow: triggers, silent-capture protocol, minimal memory format, and recall/search commands for saving and retrieving structured agent m
Caveman Compress
Compress natural-language memory files into a compact 'caveman' format to save LLM tokens while preserving code, links, and structure.
FastAPI Project Templates
Creates production-ready FastAPI project scaffolds with async patterns, DI, middleware, and testing best practices for high-performance APIs.
GraphQL Inspector — Validate
Validate GraphQL operations against a schema with configurable depth, complexity, alias and directive limits to catch errors before runtime.
JJ Hunk
Programmatic hunk selection for Jujutsu (jj): list, split, commit, or squash specific hunks to enable partial commits and fine-grained history editing without a
Codex Collab
Bridge Claude and Codex to run tasks, perform code reviews, and run background jobs for research or implementation workflows.
Cursor Hello World Tutorial
A concise 10-minute hands-on tutorial demonstrating Cursor's Tab completion, Chat, Inline Edit, and Composer features for getting started quickly.
Code Spec Backfill
Identify missing function-level contracts and backfill docstrings and type annotations; report ambiguous gaps with misuse scenarios. Incremental, state-driven w
Smalltalk MCP
Connects an LLM (Claude/OpenAI/etc.) to a live Smalltalk (Squeak/Cuis) image over MCP for browsing, evaluating and modifying Smalltalk code.