Intuitive Port Worktree
Port changes from one git worktree or checkout into the default repository folder's current branch, then by default sync the result to the remote default branch when everything is clean. Use when the user asks to move, copy, transfer, transplant, cherry-pick, apply a patch, or port worktree changes into the main/default repo checkout without changing the target branch.
Intuitive Init
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Intuitive Refactor
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Intuitive Preflight
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Intuitive Flow
Shared config, skills, and update scripts for Claude Code, Codex, and Gemini CLI
Agent Planning Loop
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Scene Gaussian Map Alignment
Align scene Gaussian/splat, USD/mesh, and robot map assets into an honest digital-twin evidence workflow. Use when a new Gaussian scene arrives, when B1/Map12-style assets need to be connected, when map anchors are being projected into a 3D scene, or when an agent must decide whether an alignment is candidate, verified, runtime-proven, or planner-backed.
Report Performance Analysis
Use this skill whenever the user asks whether a Roboclaws live-agent report run is faster, wants to compare Agent SDK/Codex/Claude cleanup reports, asks about model-call work, residual latency, speedup validity, or report performance under provider/network variance. The skill extracts sanitized JSON metrics first and answers only from generated metric/comparison artifacts, not from report.html sc…
Plan Bakeoff
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Skill Runner
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Intuitive Reduce Entropy
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Household Open Task
Complete open-ended household robot goals through public household MCP tools.
Intuitive Flow
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Intuitive Doc
Create and maintain an intuitive human documentation surface for AI-agent-developed repos. Use when humans should only need README.md, ARCHITECTURE.md, STATUS.md, and docs/human/** while planning logs, generated docs, retrospectives, ADR detail, and implementation evidence stay in AI-agent-only folders.
Molmo Realworld Cleanup
Drive the ADR-0003 MolmoSpaces real-world cleanup MCP contract.
Multica Goal Tracker
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Eval Harness
Select and run Roboclaws validation, product, eval-suite, and live-agent eval rows from a plan, diff, or explicit capability request.
Roboclaws
Visible AI-driven robotics demos powered by VLM policies, MCP skills, and AI coding agents. Reviewable HTML reports — frames, maps, tool traces, scores — instead of buried terminal logs.
Raw Fpv Visual Labeler
Label visible cleanup-relevant movable objects from grouped RAW-FPV frames without creating executable cleanup handles.
Grill With Docs Batch
Grouped grilling session that wraps grill-with-docs semantics while discussing related questions in batches, with explicit convergence checks so it stops when docs already contain enough decision quality. Use when the user wants to stress-test a plan against docs and domain language faster than one-question-at-a-time grilling, especially when asking whether remaining questions exist.
Intuitive Tests
Use this skill whenever the user asks about unit test best practices, test organization, flat test suites, redundant tests, test refactors, pytest/JUnit/Jest/xUnit layout, test taxonomy, flaky tests, coverage quality, fixtures, mocks, parametrization, pruning existing UTs, or "which tests are worth keeping." It turns broad testing advice into a practical, behavior-first cleanup workflow. For broa…
Visual Result Showcase
Create blog, README, social, or demo-review visual showcases from completed Roboclaws run artifacts, especially chaptered GIFs/contact sheets for household cleanup runs. Use when asked to turn report output, robot_views, traces, or run_result.json into polished visual result evidence without rerunning the robot task.
Intuitive Squash
Squash local GSD or agent-generated commit history into a clean, reviewable story while preserving important fixes. Use when the user asks to squash commits, clean git history, compress phase commits, prepare a branch before PR, compare aggressive vs moderate squash options, or preserve hotfix/security commits during squash in Claude Code or Codex.