Guided Autonomy Prompting (GAP) — a meta-methodology for AI-assisted software architecture. This skill operates in TWO modes. MODE A (Respond): When the user sends a GAP-structured prompt (collaborative framing + theoretical/system constraints + logical bridge + open architectural question), Claude activates deep architectural reasoning — analyzing the full codebase context before writing any code, treating named constraints as inviolable axioms, and designing the architecture before implementing it. MODE B (Craft): When the user asks for help writing a prompt for an AI coding agent, or is struggling to communicate constraints to an AI, or says things like "help me prompt this", "how should I frame this for Claude Code", "write a GAP prompt", "I need to get the agent to respect my architecture", "the AI keeps breaking my design pattern", or "how do I tell the AI about my constraints without micromanaging" — Claude helps them construct a 4-part GAP prompt using the appropriate domain template (physics/theoreti
Generate rigorous, multi-artifact session handoff packages that preserve full context for zero-loss context switching between AI sessions. Use this skill whenever the user asks to: save session state, create a handoff, package context for a new session, summarize and preserve a conversation for later, do a session dump, create a context transfer, prepare a state snapshot, export session knowledge, hand off to another agent, persist session memory, "wrap up" or "save where we are", create a knowledge package, synthesize session context, or produce a resumption artifact. Also trigger when the user says things like "save this for next time", "capture everything we discussed", "I need to pick this up later", "package this session", "make sure nothing is lost", "create a handoff document", "session export", "context preservation", or any variant of persisting conversational and working state. Even if the user just says "handoff" or "save state" — use this skill.
Generate, audit, and validate complete VDM research bundles following theorem-bearing manuscript standards. Use this skill when the user wants to: create a research bundle, Lean4 package from formal claims, SymPy adversarial symbolic audit script, a skeptical-reviewer Jupyter notebook, score papers w/ CRAFT/BASS review metrics, audit burden coverage, generate SHA256 manifests, create figures following standards, scaffold a new Complete Formalism publication from claims, or check whether existing bundles meet certificate requirements. Also trigger when the user mentions "publication bundle","validation bundle","CRAFT score","BASS score","burden coverage","claim attack","gate check","reviewer notebook","adversarial audit","publication certificate","closure certificate","artifact manifest", "figure standards", "review-ready", or any CF/CFN publication workflow. Even if the user just says "score this paper"/"check if this is publication-ready", use this skill.
Execute complete, rigorous data analysis workflows from problem understanding through validated results delivery. Specializes in physics/scientific analyses while handling any analytical domain. Delivers publication-quality packages with full reproducibility.
Use when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.