actionize
claude[Moved to infranodus/skills-lab] Turn insights or research into an actionable plan with deadlines and scheduled Telegram reminders.
1 skill
Agent memory for a project: proactively retrieves at task start and saves at task end what sessions learned about operating in a repo or vault to an opt-in InfraNodus learnings graph. Writes only after per-project opt-in; can be set to manual-only.
Plugin project-learnings from marketplace infranodus-skills in infranodus/skills. Commands read from the repo's manifest — today.
project-learningsUse PROACTIVELY, without being asked, at the START of any multi-step task in a git repo, project folder, or vault (before reading files) and at the END of one (to reflect and save). Applies whenever the user asks to implement, fix, refactor, debug, or investigate something in a project, whenever a f
[Moved to infranodus/skills-lab] Turn insights or research into an actionable plan with deadlines and scheduled Telegram reminders.
1 skill
Guide conversations through shifts between zoom levels and connecting/exploring modes to unlock creative breakthroughs and prevent rigid thinking.
1 skill
[Moved to infranodus/skills-lab] Critical thinking: question assumptions, explore alternative perspectives, and uncover latent topics in conversations.
1 skill
[Moved to infranodus/skills-lab] Transfer embodied movement principles (meditation, martial arts, dance) to navigate complex situations mapped as knowledge graphs.
1 skill
Knowledge graph + gap finder for your notes, vault or agent memory: shows what's missing and what to write next. Maps a folder, Obsidian vault, LLM wiki or repo into a measured, deterministic graph via the InfraNodus MCP server: topic clusters, content gaps, research questions, GraphRAG retrieval, SEO/GEO.
1 skill
Collect and curate: set up and maintain an LLM wiki / second brain (Karpathy-style raw sources -> interlinked wiki pages) that compounds over time, with knowledge graph and gap analysis of what it covers. Works with the core infranodus skill.
1 skill
Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting
9 skills · 1 command · 4 agents
A four-tier memory ladder for Claude Code where promotion is earned by recurrence, not asserted by confidence. L0 raw transcripts are never injected; L1 candidate atoms are gitignored and recalled on lexical relevance per prompt; L2 project context loads each session start; L3 stable persona is always loaded. L1 to L2 needs three distinct sessions spanning two distinct calendar days (a stated claim needs two; a verified claim is the only single-observation path); L2 to L3 needs two projects and thirty days. Two gates refuse rather than guess: a claim altered by the redaction pass never promotes on evidence alone, and a contradicted claim freezes until a human resolves it. Three hooks run the loop unattended and every one fails open. Nothing reaches a committed CLAUDE.md without an explicit human adopt. Ships 5 stdlib scripts, 3 hooks, a cs-memory-curator agent, /cs-memory, a JSON schema, and a 69-check validator. Concept from TencentCloud/TencentDB-Agent-Memory (MIT); no upstream code included.
1 skill · 1 command · 1 agent · hooks
AI-supervised issue tracker for coding workflows
1 skill · 1 agent · hooks
Stop re-explaining your notes to Claude. Turns your Obsidian vault into memory Claude can actually search, and keeps it true: new sources rewrite existing pages, contradictions reconcile, and stale facts get flagged. AI note-taking and PKM for Claude Code.
1 skill · 49 commands · 1 MCP server · hooks
Generate research-backed knowledge systems from natural conversation. 15 kernel primitives, 26 commands, 249 research claims, 3 presets.
26 skills · 1 agent · hooks
Persistent memory for Claude Code — capture, digest, and recall project knowledge across sessions with a dependency-free Go CLI and hook integration.
1 skill
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