deemkeen-claude-session-management

Pre-built code templates and patterns for scientific computing and schematics in Claude. Accelerates development with reusable solutions for technical projects.

200 skills · 2 MCP servers

React Flow integration skill for Beagle, enabling visual node-based workflow building and automation.

139 skills

Meta-prompting and spec-driven development system for Claude Code. Productivity framework for structured AI-assisted development.

67 commands · 33 agents

Production-ready development workflows powered by specialized AI agents for reliable software engineering.

33 skills · 22 commands · 27 agents

Open SKILL.md standard compatible personal skill collection working across Claude, Cursor, and other AI assistants.

44 skills · 35 agents

Specialized plugins for research-oriented coding tasks, enabling scientific computing and research software development with Claude Code.

76 skills

Bring Pendo product analytics into Claude: account health, feature adoption, session replay lookup and triage, feedback analysis, and data-informed planning grounded in real usage data. Requires the Pendo connector and a Pendo subscription.

6 skills · 2 MCP servers

Build, launch, grade, and schedule Claude Managed Agents (CMA) in your own Anthropic account — a plugin re-implementation of Anthropic's launch-your-agent reference skill (Apache-2.0; independent, not a fork). Every session starts with a goal (./my-agent/goal.json, opt-in SessionStart hook, driven by /cs-goal); loop_compiler.py compiles it into a bounded grade->iterate loop (max_iterations 1..20), a recurring cron scheduled-deployment loop, or a single-pass interview->stage->launch workflow. 6 skills: orchestrator (context: fork goal router) + interview + stage-launch + grade-iterate + run-without-you + wrap-up. 18 stdlib-only deterministic scaffolders (no network/API calls; live launches emitted as BYOK curl that never prints the key), 4 agents, 8 commands, hooks, 5 references, 4 assets. Validators enforce CMA limits. Distinct from engineering/agent-harness (generic domain loop) and write-a-skill (authors Claude Code skills, not CMAs).

6 skills · 8 commands · 4 agents · hooks

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

Worktrunk is a CLI for Git worktree management, designed for parallel AI agent workflows. This plugin provides configuration guidance (LLM commit messages, project hooks, worktree paths), automatic activity tracking (🤖/💬 indicators in `wt list` showing active Claude sessions), and a `/wt-diff` pane showing each worktree's changes.

2 skills · hooks

恢复由 dbs-save 保存的最近诊断状态。用户要求接着上次、查看此前结论或继续未完成诊断时使用。

1 skill

A coordinated engineering team of named AI specialists that remembers your project between sessions. Call yui to route work, or call any specialist directly: Go (jaan, siim, mart), Angular (liis, kadi, tiiu), iOS (ren, shu, ryo), Python (eero, anu, ivo), React (noa, rui, aki), SQL (saku), NoSQL (remo), architecture for any stack (kai), process management (enn), and DevOps/infra (sora). Each ships as both a skill and a subagent. Bundled hooks capture finished work when a session ends and say at the next session start that saved work exists, and record per-session and per-agent token and time usage. Every specialist follows the same discipline: read context first, make the smallest correct change, verify.

23 skills · 20 agents · hooks