caveman
claudeVendored, pinned copy of JuliusBrussee/caveman (MIT): ultra-compressed caveman-style replies that cut ~75% of output tokens while keeping technical substance exact.
7 skills · 3 agents · hooks
Design, configure, audit, and troubleshoot MikroTik RouterOS networks — CAPsMAN/wifi, VLANs, firewall and multi-layer NAT, routing, DHCP, QoS, VPNs, and .rsc scripting.
Plugin mikrotik-routeros from marketplace skill-bazaar in pepsi133/skill-bazaar. Commands read from the repo's manifest — 2 days ago.
mikrotik-routerosDesign, configure, audit, and troubleshoot MikroTik RouterOS networks — CAPsMAN/wifi, VLANs and multi-subnet segmentation (IoT, IoT-restricted, guest, work, private), firewall and complex/multi-layer NAT, bridging with hardware offload, routing, DHCP, QoS, VPNs, and RouterOS scripting (.rsc). Use wh
Vendored, pinned copy of JuliusBrussee/caveman (MIT): ultra-compressed caveman-style replies that cut ~75% of output tokens while keeping technical substance exact.
7 skills · 3 agents · hooks
Simple Technical English (ASD-STE100) bridged to caveman: caveman's compressed style stays the default, and STE takes over on exactly the turns caveman itself says to drop compression. Toggle with /ste:ste on|off|status.
2 skills · hooks
Build and run a decision board, a private claude.ai artifact with a database, where an agent posts questions and pending actions as cards and its operator answers from a phone instead of a terminal.
2 skills
Pause a Claude Code session before it burns through the 5-hour or 7-day usage window, wait for the reset without spending tokens, and resume automatically.
1 skill · hooks
Protocol for handing work to a subagent that cannot ask the human mid-run: delegate by default with two main-session carve-outs (secret values, human confirmations), a decision-completeness gate, stop-clause wording, an ask-and-continue variant for harnesses with a parent relay, and artifact verification instead of exit codes.
1 skill
One status line row for caveman, ste, and limit-guard: badges, vim mode, context, usage windows or session cost, prompt cache, model, agent, and PR. One python3 process, no chaining.
1 command
AgentBBS cross-host agent federation (ADR-164). Phase 1: register/publish/watch/human-join room coordination. Phase 2 (v3.40.0): signed cross-host federation — identity, peer_add (pin by nodeId+Ed25519 key), peers, serve (read-only pull), sync (pull + union-merge what verifies). Registry-anchored pinning; works on any network (no tailnet required); coordinates work claims (ClaimIssued/Released/Handoff/Ack). Degrades gracefully when agentbbs is absent.
1 skill
Deploy, manage and monitor your Hostinger services directly from Claude Code. The plugin connects Claude to Hostinger's remote MCP server, so you can ship sites and apps, manage domains and DNS, run WordPress and operate VPS servers without leaving your coding environment. There's nothing to install on your machine: no Node.js, no npm, no local server. Key features include one-prompt deployments for static sites, Node.js apps (built on Hostinger), full WordPress site imports, and WordPress plugins and themes, plus static and PHP sites on the Agency Plan. Beyond deployments, Claude can search and register domains, edit DNS records and snapshots, check build logs, and manage mailboxes, online stores, email marketing contacts, subscriptions and orders. It can also control VPS firewalls, snapshots and monitoring. Sign in through your browser (OAuth) on first use, or set a `HOSTINGER_API_TOKEN` from hPanel. How to use: there are no commands to memorize. Describe what you want and Claude picks the right tool or deployment skill. Try "deploy my static site to Hostinger", "deploy this Next.js app to example.com", "create an A record pointing example.com to 1.2.3.4", or "show VPS metrics for the last 24 hours."
7 skills · 1 MCP server
Cloud architecture design for AWS/Azure/GCP/OCI, Kubernetes cluster configuration, Terraform infrastructure-as-code, hybrid cloud networking, and multi-cloud cost optimization
8 skills · 7 agents
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
1 skill · 3 commands · 1 agent
Persistent project planning files with lifecycle hooks that inject selected plan context. Automatic recovery uses project files only. Explicit catchup modes may read same-project local session records to emit aggregate counts or bounded nonce-framed excerpts. Optional gated mode can request continuation on capable hosts and never runs commands declared in Markdown. No network upload path. Installs across 60+ agents.
6 skills · 13 commands · hooks
Neural network interpretability tools including TransformerLens, SAELens, NNSight, and pyvene. Use when analyzing model internals, finding circuits, or understanding how models compute.
98 skills
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