suaveplan-crypto
claudeHash, curve, cipher, AEAD, signing, key agreement, vaults
10 skills
Networking primitives: protocol, quality, failover, websockets, discovery
Plugin suaveplan-network-core from marketplace suaveplan in SuavePlan/suaveplan-skills. Commands read from the repo's manifest — 1 month ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
Problems found in this repo's manifests
Hash, curve, cipher, AEAD, signing, key agreement, vaults
10 skills
Test utilities: vitest fixtures, DOM helpers, Playwright E2E, integration containers, linter
10 skills
Bytes, timing, datetime, MIME, serialize, diff, templates, bitpacker
9 skills
Authentication + authorization: auth, permissions, JWT, OAuth, RBAC/ABAC
7 skills
ETL, CRDT, dedup, pagination, A/B testing, browser analytics, GraphQL
7 skills
Event bus, sourcing, OTel/metrics/schema bridges, transport
6 skills
Early access: ruflo's cockpit as a Claude Code mod (function hooks) and the one /ruflo command for every ruflo mod — overview with health alerts, swarm topology, claims flow, federation map, plugin health, learning pipeline, MetaHarness radar, memory, cost gauge, agent timeline, approvals and events; a command palette for confirm-gated actions through the ruflo CLI; auto-opens where it docks; no network by default
1 skill
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.
16 skills · 1 command · 2 agents · 1 MCP server · hooks
The official CCXT MCP server plus the ccxt-mcp usage skill — market data, balances and opt-in trading across 100+ crypto exchanges and prediction markets, with keys kept local.
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
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