Kanevry

Use this skill to run an honest session-process evaluation (Standard v1, aiat-llm-eval/1.0) — score the last completed orchestrator session against the pre-registered rubric-v1 dimensions, run /eval, evaluate this session, produce an eval report, or re-verify a stored eval run for reproducibility. Deterministic-first with an optional advisory LLM judge; never produces a global score.

Use this skill when performing a full session close-out: verifies all planned work against the agreed plan, creates issues for gaps, runs quality gates, commits cleanly, mirrors to GitHub, and produces a session summary. Triggered by /close command.

Use this skill when initializing a session for any project repo. Autonomously analyzes git state, VCS issues, SSOT files, branches, environment, and cross-repo status. Then presents structured findings with recommendations for user alignment before creating a wave plan. Triggered by /session [housekeeping|feature|deep] command.

Use this skill when orchestrating agentic end-to-end tests. Resolves target + profile, dispatches the right driver(s) (playwright for web today, peekaboo for macOS (issue #381)), invokes the ux-evaluator agent (opus, read-only) against driver artifacts, reconciles findings with the open issue tracker via scripts/lib/test-runner/issue-reconcile.mjs, and writes report.md + JSONL roll-up. Wraps upstream tools (no forks). Hard-gates Playwright MCP for browser drive (4× token cost vs CLI per Microsoft's own benchmark).

Use this skill when executing the agreed session plan in waves with role-based execution and parallel subagents. Handles inter-wave quality checks, plan adaptation, and progress tracking. Core orchestration engine for feature and deep sessions. Triggered by /go command.

Use this skill when extracting session patterns into reusable learnings. Three modes: analyze (extract from session history), review (edit/manage existing learnings), list (display active learnings). Manages .orchestrator/metrics/learnings.jsonl.

Use this skill when you need multi-persona parallel content review — domain experts, buyer personas, compliance reviewers, or custom catalog entries reviewing a target file or output. Dispatches N persona agents in parallel, consolidates verdicts via a configurable mode (voting-quorum, hard-gate-threshold, or coordinator-summary), and writes a timestamped sidecar to .orchestrator/persona-panel/. Invoked via /persona-panel <target-path>.

Use this skill when the user wants to audit a repository for baseline compliance, check code quality, security posture, CI/CD setup, testing, documentation, and ecosystem configuration. Runs 9 checklist categories and emits a Markdown report plus JSON sidecar at .orchestrator/metrics/repo-audit-<timestamp>.json. <example>Context: User is in a project repo and wants a baseline compliance check. user: "/repo-audit" assistant: "Running repo-audit across 9 categories — Configuration, Code Quality, Git Hygiene, CI/CD, Testing, Security, Documentation, Clank Integration (optional), and MCP Configuration. Will produce a Markdown checklist report and JSON sidecar." <commentary>The user wants a compliance check; this skill is appropriate because it runs all 9 categories with pass/fail/warn/skipped statuses and writes structured output.</commentary></example>

Publish static HTML pages and asset folders to the Paperclip-approved S3 and CloudFront website host. Use when asked to deploy, publish, host, or share a persistent Paperclip page, wireframe viewer, prototype, report, or other static site without using here.now.

Interact with the Paperclip control plane API to manage tasks, coordinate with other agents, and follow company governance. Use when you need to check assignments, update task status, delegate work, post comments, set up or manage routines (recurring scheduled tasks), or call any Paperclip API endpoint. Do NOT use for the actual domain work itself (writing code, research, etc.) — only for Paperclip coordination.

Generate the stable Paperclip release changelog at releases/vYYYY.MDD.P.md by reading commits, changesets, and merged PR context since the last stable tag.

The Paperclip way of converting a plan into executable tasks. Use whenever you are asked to plan, scope, or break down work inside a Paperclip company. Industry-agnostic guidance on how to translate a plan into assigned issues with the right specialty, dependencies, and parallelization so Paperclip's executor can pick up the work — it does not prescribe a plan format. Pair with the `paperclip` skill, which covers the mechanics of writing the plan document and reassigning the issue.

Manage a Paperclip company as a board member via chat. Covers onboarding (company creation, CEO setup, hiring plans), agent management, approvals, task monitoring, cost oversight, and work product review. Use this skill whenever the user wants to interact with their Paperclip control plane.

Run, verify, reseed, and repair a Paperclip isolated dev workspace service. Use when asked to start or fix a Paperclip project/worktree service and prove that it is managed by the Paperclip runtime, has the full bootstrapped cloned database, is healthy, accepts normal dev credentials, exposes populated app data, and is visible as running from both the control-plane and the served workspace app.

Create and develop external Paperclip plugins with the CLI-first workflow. Use when scaffolding a new plugin, working on a local plugin against a running Paperclip instance, or updating plugin authoring docs. Covers `paperclipai plugin init`, the local install loop via `paperclipai plugin install <path>`, worker/UI rebuild and reload semantics, and the required success checklist.

Run a single Terminal-Bench problem through Paperclip in a bounded, human-in-the-loop improvement cycle until the smoke passes, the board rejects the next fix, the iteration budget is exhausted, or a real blocker is named. Each iteration runs a bounded smoke against an isolated Paperclip App worktree, captures artifacts, diagnoses the exact stop point with `/diagnose-why-work-stopped`, requests board confirmation before any product fix, then reruns against the same worktree. Use whenever an issue asks to "run Terminal-Bench in a loop", "drive Terminal-Bench until it passes", "loop fix-git through Paperclip", or otherwise points at a Terminal-Bench task and asks for bounded iteration with diagnosis.

Find high-impact open source issues worth contributing to. Uses 5 search strategies (reactions, comments, help-wanted, good-first-issue, bugs) with configurable filters for stars, language, labels, and age.

Deep-evaluate a GitHub repo and issue for contribution viability. Checks repo health, maintainer activity, competing PRs, merge speed, and produces a GO/NO-GO recommendation with scoring.