Team / initiative shared AI memory. User triggers once with start; then sync mode pulls crew memory and agents remember findings (merge-safe). Invoke for team-brain, start, stop, wake, sync, shared spike, initiative, Jira crew work, remember, recall, breakdown (not personal standups).
Automatic context checkpointing via the ctxfile MCP tools. Use throughout every session - at session start (load context), when tasks complete or decisions are made (checkpoint), and when the user hands work off or says goodbye.
Automatic context checkpointing via the ctxfile MCP tools. Use throughout every session - at session start (load context), when tasks complete or decisions are made (checkpoint), and when the user hands work off or says goodbye.
Automatic context checkpointing via the ctxfile MCP tools. Use throughout every session - at session start (load context), when tasks complete or decisions are made (checkpoint), and when the user hands work off or says goodbye.
Tighten user prompts before they reach a model — strip conversational filler, drop fragments, dedupe sentences, rank by relevance, and compose a short, declarative system prompt that doesn't waste context. CPU-only, deterministic, dependency-free. Use it whenever a request is long, rambling, or covered in pleasantries…
Shrink LLM prompts before sending them — collapse duplicate tool results, distill old turns, minify tool schemas and system prompts, prune to a token budget, and (opt-in) prune large HTML tool results. On the output side, the proxy can cap/truncate streamed completions and strip lead-in filler. Lossy by default…
Use this skill to systematically manage what information goes into an LLM context window — selecting, compressing, and prioritizing content to maximize response quality within token budget constraints. Activates when building or optimizing LLM applications, RAG systems, or agent workflows that face context window…
Token-efficient persistent memory system for Claude Code that saves 67% tokens on session warm-up (verified with tiktoken). Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode.…
Use Codex Token Guard to reduce noisy command and tool-output tokens while preserving errors, file paths, line numbers, test names, user instructions, recent edits, and architecture decisions.
At 80-90% context, save to the brain, route to the right channel, load fresh context, and resume. Built-in lifecycle so every agent stays synced to the second brain and never drops work.
Comprehensive React development with hooks, components, state management, context, effects, and performance optimization based on official React documentation.
★not rated 61 2mo agoA27 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: