By NeoLabHQ
Execute First Principles Framework (FPF) workflows to generate competing hypotheses for problems, verify logic across agents, organize evidence/decisions in .fpf/ directory, audit git changes for drift, manage evidence freshness with decay/actualize, query knowledge base, check status, and reset cycles for auditable project reasoning.
Reconcile the project's FPF state with recent repository changes
Manage evidence freshness by identifying stale decisions and providing governance actions
Execute complete FPF cycle from hypothesis generation to decision
Search the FPF knowledge base and display hypothesis details with assurance information
Reset the FPF reasoning cycle to start fresh
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
npx claudepluginhub neolabhq/context-engineering-kit --plugin fpfAn umbrella collection of 22 skills + 1 hook for AI-driven development: agent self-configuration (MCP / hooks / settings / subagents / skills / plugins / Claude Code optimisation), engineering practices (prompt engineering, FPF problem solving, bug-fix protocol, planning gate, repository-history investigation, C# refactoring), research & docs (Semantic Scholar deep research, URL-to-Markdown, ubiquitous-language thesaurus), multi-agent orchestration (consilium), macOS & Windows health & cleanup, and niche utilities (clipboard, repo-explorer, Windows QA). Plus a Claude Code Bash safety hook.
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.
The epistemic-posture layer for AI coding agents. Ships the Reasoning Surface protocol, named failure-mode counters, operator profile schema, and workflow loop as Claude Code skills, agents, and hooks. Posture first. Kernel outlives the tooling.
Corca Workflow Framework — consolidated hooks and skill orchestration for structured development sessions
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Harness-native ECC operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses