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Relentless plan-and-design interrogator. Walks the decision tree one branch at a time, asking forcing questions sequentially with recommended answers. Explores codebase before asking. Derived from Matt Pocock's MIT-licensed grill-me with: (1) 3 stdlib Python tools (decision-tree extractor across 6 branch kinds, question generator with dependency-aware ordering, JSON-backed session tracker for multi-day grills), (2) 3 references citing 7-8 sources (6 forcing-question patterns, when to stop grilling, companion tooling), (3) cs-grill-master persona agent + /cs:grill-me slash command. Matt's relentless one-at-a-time interview discipline preserved verbatim per MIT.
Interview the user relentlessly about a plan or design until reaching shared understanding
Interview you relentlessly about every aspect of a plan until shared understanding — walks the design tree, resolves dependencies one-by-one
Grilling session that challenges plans against the existing domain model, sharpens terminology, and updates documentation (CONTEXT.md, ADRs) inline
Structured AI development: orchestrated fan-out, advisor gate, intent routing, and skill-driven workflow for Claude Code
Customer-facing GroundX agent harness for API use, schema-first extraction, on-prem deployment, architecture, and approved GTM guidance.
Session continuity and knowledge retention: mycelium, learn skill, handover/newjob slash commands for Claude Code agents.
from ccplugins/awesome-claude-code-plugins
Append-only SQLite chat substrate over WAL. Channels (#name), DMs (@name), ULID-threaded replies. Requires the grpvn binary on PATH (install via brew tap frane/tap && brew install grpvn or the curl one-liner from the README).
Get Shit Done -- structured workflow plugin for Claude Code with planning, execution, verification, and MCP-backed project state
B2B GTM skills — account qualification, contact qualification, interview facilitation, and synthesis tools
AI Operations Team — Guard: Input/output safety filters, PII detection, content moderation, and AI policy enforcement at runtime.
Audit guardrail coverage — bypass vectors, false positive rates, policy gap analysis, red-team scenarios.
Design guardrail layers — input classifiers, output validators, PII scrubbers, policy rule engines.
Map current AI safety controls — filter inventory, coverage gaps, latency impact, incident history.
API Documentation Engineer — API and SDK documentation — reference docs, guides, and documentation architecture
Claude Code guide — interactive onboarding walkthrough and Q&A on setup, best practices, automation, and effective workflows