ruflo-autopilot
claudeAutonomous /loop-driven task completion with learning, prediction, and progress tracking
2 skills · 2 commands · 1 agent
An Early Value Proposition is a ≤22-word line matched to a Schwartz awareness tier. Same product, five lines, because the unaware buyer and the vendor-comparing buyer are not the same reader. Step 2 of the GTM operator suite.
Not in a marketplace yet, so it loads for one session with --plugin-dir.
Plugin evp in cmj-hub/claude-evp. Commands read from the repo's manifest — 17 days ago.
evpWrites and scores an Early Value Proposition (EVP): one line of 22 words or fewer matched to a Schwartz awareness tier, in the shape \"For {ICP} in {pain}, we're the {one team} that does {outcome} without {tradeoff}.\" Builds a 3-tier brief and publishes the chosen outreach line as the evp block. Us
Autonomous /loop-driven task completion with learning, prediction, and progress tracking
2 skills · 2 commands · 1 agent
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
2 commands
Your code review partner. CodeRabbit provides external validation using a specialized AI architecture and 40+ integrated static analyzers—offering a different perspective that catches bugs, security vulnerabilities, logic errors, and edge cases. Context-aware analysis via AST parsing and codegraph relationships. Automatically incorporates CLAUDE.md and project coding guidelines into reviews. Useful after writing or modifying code, before commits, when implementing complex or security-sensitive logic, or when a second opinion would increase confidence in the changes. Returns specific findings with suggested fixes that can be applied immediately. Free to use.
2 skills · 1 command · 1 agent
Universal memory runtime for Claude Code with cross-session memory, entity-aware recall, lifecycle hooks, skills, commands, and memory-curator agents
7 skills · 7 commands · 2 agents · hooks
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.
1 skill · 1 command · 1 agent
Sets up the clinic, onboards students, runs structured intake, tracks deadlines with malpractice-aware caution, and hands off cases at semester end — built within ABA Formal Op. 512.
16 skills · 5 MCP servers
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