Detect semantic contradictions across config files
Env → IaC-platform-shaped manifests. The RENDER phase (THEORY §IV.3) of the eight-phase convergence loop. Each `Backend` impl is a morphism from the typescape (typed Rust resources in `tatara-env::Env`) to a target's native shape (Kubernetes CR YAML, Helm template, Terraform JSON, Pangea Ruby DSL). Adding a backend inherits every existing proof — proofs attach to the typescape types, not to the rendering code (THEORY §III.2).
CLI to standardize build, test, and run commands across projects
Operator-side CLI mirror of the pleme-io ★★ AUTO-RELEASE directive (https://github.com/pleme-io/blackmatter-pleme/blob/main/skills/pleme-io-auto-release/SKILL.md). Detect repo type, plan a release, onboard a repo, verify metadata — all the GH-action logic runnable locally with typed shikumi config.
Step-by-step install helper. Tells you what to type, doesn't run it.
Hook-based token compressor for 5 AI CLI hosts (Claude Code, Copilot CLI, OpenCode, Gemini CLI, Codex CLI). Up to 95% bash compression, signature-mode for code reads, cross-call dedup, MCP server, self-teaching protocol. Zero runtime deps.
🔗 IfThisThenThat linter — enforce atomic cross-file changes via LINT.IfChange / LINT.ThenChange directives (IfChangeThenChange / IFTTT).
Universal semantic versioning for monorepos and classic repos
Fast cross-platform CLI tool that lists installed package managers, their versions, and global package directories
Context Intelligence Engine with CCP. 34 MCP tools, 8 read modes, 90+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing + diaries, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24 AI tools. Reduces LLM token consumption by up to 99%.
Context Runtime for AI Agents with CCP. 63 MCP tools, 10 read modes, 60+ compression patterns, cross-session memory (CCP), persistent AI knowledge with temporal facts + contradiction detection, multi-agent context sharing, LITM-aware positioning, AAAK compact format, adaptive compression with Thompson Sampling bandits. Supports 24+ AI tools. Reduces LLM token consumption by up to 99%.
A fast dependency updater for Python, Node.js, Rust, Go, Ruby, Terraform, GitHub Actions, pre-commit, and Mise projects