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memnyx
memnyx contains 28 collected skills from MDGrey33, with repository-level occupation coverage and site-owned skill detail pages.
Skills in this repository
Definitive reference for how Claude Code works — disambiguates skills vs hooks vs subagents vs MCPs vs slash commands vs memory vs settings. Use when asked "how does Claude Code X work", "what's the difference between X and Y", "where should this live", "build me a [skill|hook|agent|mcp|slash command]", "configure Claude Code", or when picking the right surface for a new capability.
Scribe — the project-documentation skill. Generate or maintain a project's Claude-facing documentation (CLAUDE.md, .claude/docs/*, project-context.md, README) from verified facts. Use when the user says "document this project", "write the docs for X", "the docs are stale", "fill in the .claude docs", or "/scribe". Detects existing doc state and routes between from-scratch and update. Verify-before-assert is the core discipline — confirmed facts go to committed docs, inferred/uncertain ones go to a separate hazards artifact, never silently into the repo.
Speak content aloud via Kokoro neural TTS (local, offline). Use when the user says "read it for me", "read it to me", "play it in audio", "say it", "speak it", "read that aloud", "/say-it", or asks to hear something spoken instead of reading it.
Install a local neural voice interface for Claude Code on macOS Apple Silicon. Wires mlx-whisper (STT) + Kokoro TTS (offline neural voices) into voice-claude and vtranscribe CLI scripts. Two voice contexts — personal (af_heart) and tech (af_bella). Multi-session safe — concurrent sessions speak in turn (global lock) and announce their name. No cloud APIs, no API keys.
Collect the user's daily work activity from Slack, Jira, Confluence, GitHub, and Google Drive with source links
Collect a team member's daily work activity from Slack, Jira, Confluence, and GitHub
Initialise a workspace, register projects under it, or sync upstream changes. Single entry point for workspace lifecycle.
Start a session — locate workspace, classify cwd, resolve project + workstream + open item, load memory, write session marker, recap context
End the session — summarize work, persist context, capture lessons, close the active marker
Scrub skills, SKILL.md, CLAUDE.md, memory files, and markdown before public/boilerplate release. Detects secrets, PII, private context, and reputation risks. Two-phase — detect → approve → apply. Has a --check mode for CI gates. Called by /contribute and /pull-contributions as the dedicated scrubber.
Audits the Claude Code setup (CLAUDE.md, skills, MCPs) for cost and context efficiency without touching quality. Produces a report with sized, prioritized actions and delegates execution to skills-manager or asks the user for approval. Use weekly, when sessions feel slow, or when bills spike.
Pull generalized contributions from a project into Memnyx. Runs `sanitizer --check` as a mandatory gate before integration.
Manage skills — add, update, remove, and review based on lessons or user requests
Install and configure cognee-mcp on this machine
Run the full security analysis pipeline — AWS Inspector V2 + GitHub security alerts → correlation → dashboard. Saves dated snapshots for trend tracking. Run monthly or on demand. Optional --deploy flag pushes the dashboard to Google Apps Script at the end.
Generalize a lesson and stage it for Memnyx contribution. Delegates sanitization to `sanitizer` before staging.
Capture and integrate lessons learned. Two modes — capture (single lesson) and scan (mine session files or extended JSONL logs for skill-change proposals).
Sweep the user's unread LinkedIn DMs and handle cold outreach in two modes — deflect overt sales pitches with an assertive door-closing reply, and socially probe fresh ambiguous openers with a question that demands a genuine answer (real peers answer, sales personas pivot → then deflect); stay social through the sender's 3rd message, then hand genuine threads to the user. Drives the real logged-in Chrome via the chrome-control MCP. Trigger on "clear my sales pitches", "deflect pitches", "linkedin sales sweep", "kill the incoming sales", "check my linkedin messages", "/linkedin-pitch-deflector".
Manage the workspace's project registry at `<workspace>/.claude/projects-index.json`. Single mutation point for the registry — other skills read the file directly, all writes funnel through here. Actions: `add`, `remove`, `update`, `list`.
Wire the optional auto-memory system into the user's ~/.claude/. Creates the per-project memory directory, copies templates and examples, installs the memory-hygiene curation skill, and offers a CLAUDE.md fragment that documents the type system on disk. Trigger "set up auto-memory", "enable auto-memory", "wire in auto-memory", "/setup-auto-memory".
Deploy an HTML file as a Google Apps Script web app with a stable URL. Called by other skills (e.g. a dashboard-generating skill) with a sourceDir argument. Handles clasp setup, authentication, project creation, and updates. Config lives in sourceDir/clasp-projects.json — no global state.
Unified research skill with three depth modes. Use `--shallow` (single-pass parallel web search via the `research-expert` agent) for "quick research", "look up", "find me info on". Use `--standard` (decompose → parallel subagents → synthesize → cite-check) for "research X", "investigate". Use `--deep` (full 9-stage pipeline with breadth scavenging, depth iteration, gap-fill, contradiction detection, theory drafting, fact-check, three-tier output) for "deep research", "thorough investigation", "full literature review", "research this rigorously". Replaces the older `deep-research-orchestrator` skill.
Install and configure a local Wikibase Suite for projects that need a Wikidata-style knowledge graph with claim-level provenance
Audit and prune the auto-memory system. Classifies each MEMORY.md entry and topic file as ENFORCE / HOT / WARM / STALE, archives old ones, and optionally promotes stable HOT patterns into CLAUDE.md Hard Overrides. Use when MEMORY.md gets dense (>30 entries), sessions feel slow from context bloat, or on a monthly cadence. Trigger "memory hygiene", "clean memory", "memory audit", "memory promote", "prune memory".
Prepare 1:1 meeting notes by synthesizing a team member's recent activity into a structured meeting agenda
Append a structured entry to the agent log with automatic rotation
Check health of configured MCP servers
Install and configure Playwright MCP for browser automation