lyndonkl-claude
claudeRepository of reusable agents, skills, and utilities designed for Claude integration and multi-agent orchestration.
200 skills · 85 agents · hooks
Agentic Context Engineering implementation as a deploy-ready service for Claude Code integration and automation.
Plugin cakecrusher-ace-service from marketplace cascade-ai-ml-agents-misc-1 in joshuarweaver/cascade-ai-ml-agents-misc-1. 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.
Repository of reusable agents, skills, and utilities designed for Claude integration and multi-agent orchestration.
200 skills · 85 agents · hooks
Enterprise multi-agent swarm platform enabling distributed autonomous workflows with RAG integration and Claude Code support.
200 skills · 3 MCP servers
Claude skill for coordinating multiple agents in collaborative novel writing. Manages character consistency, plot coherence, and multi-perspective narrative generation.
200 skills
Development framework featuring cognitive automation and collaborative agent systems. Redefines development through AI-powered agent coordination.
196 skills
Ready-to-use agent skills for research, science, engineering, analysis, finance, and technical writing across domains.
181 skills
AI-native development platform converting chat-based coding into structured workflows with code intelligence, spec-driven planning, and agent orchestration.
150 skills
Long-term semantic memory for Claude Code, powered by OpenViking
5 skills · 1 command · 1 MCP server · hooks
Engineer an agent's forgetting, not just its remembering. Four deterministic stdlib scripts implement the four lenses of agent memory: a cost profiler that splits construction from query spend and reports cost per correct answer (construction energy exceeds total query energy across 300 queries in the Stanford characterization); an architecture picker that scores the four paradigm families — long-context, flat RAG, structure-augmented RAG, agentic — disqualifies on hard constraints, names the cost the winning choice makes you pay, and refuses to pick when the top two tie; a density auditor that classifies every record in a memory directory or JSONL export as FACT / SKILL / LOG / PROSE, finds near-duplicates, and flags stale wording; and a forgetting-policy linter that fails any design with no forgetting rule. Ships cs-memory-engineer agent, /cs-memory-engineering and /cs-forgetting-audit commands, 4 references, and a seven-question forcing worksheet.
1 skill · 2 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
GSD Core is a meta-prompting, context engineering, and spec-driven development system for AI coding agents.
72 skills · 72 commands · 64 agents · hooks
Diagnose context stuffing vs. context engineering in AI workflows.
1 skill
Spec-driven development and context engineering for AI coding agents, backed by project context in Git.
4 skills · 4 commands · 2 agents · hooks
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