Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.
原文の言語: 英語
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SkillsMP は firstbatchxyz/kai から 44 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 44 件中 40 件を表示しています。
Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.
原文の言語: 英語
Set up GitHub authentication for the agent using git (universally available) or the gh CLI. Covers HTTPS tokens, SSH keys, credential helpers, and gh auth — with a detection flow to pick the right method automatically.
原文の言語: 英語
Production-grade PR review with execution-verified suggestions. Reads repository conventions, history, and security surfaces before reviewing. For every suggested fix, attempts to compile and test it in the sandbox — the comment includes proof. Modelled on…
原文の言語: 英語
Create, manage, triage, and close GitHub issues. Search existing issues, add labels, assign people, and link to PRs. Works with gh CLI or falls back to git + GitHub REST API via curl.
原文の言語: 英語
Open and manage GitHub pull requests through Kai MCP tools — propose changes, monitor CI, iterate on failures, and merge. No git tokens are shared to the sandbox; every GitHub operation goes through the backend via the workspace's GitHub App installation.
原文の言語: 英語
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
原文の言語: 英語
One-time repository onboarding for PR review — builds a RepoProfile (conventions, hot files, security surfaces, nit catalogue, test command) stored as workspace learnings. Re-runs automatically when the profile is stale (>30 days or >30% of files changed).
原文の言語: 英語
Manage AWS services for ML workflows including S3, ECR, SageMaker, and EC2
原文の言語: 英語
Browse, download, and deploy models, datasets, and spaces on HuggingFace Hub
原文の言語: 英語
Define, deploy, and inspect Modal — serverless GPU functions, endpoints, volumes, and existing workspace deployments; also the default GPU runtime for Kai evaluators
原文の言語: 英語
Manage GPU pods, deploy serverless endpoints, and run inference workloads on RunPod
原文の言語: 英語
Track experiments, log metrics and artifacts, and compare runs with Weights & Biases
原文の言語: 英語
Write, test, and upload custom evaluators for code optimization — the fitness functions that drive optimization quality, including the Modal-first GPU evaluator pattern
原文の言語: 英語
Get the LLM models for evolutions from the workspace agent subscription tier config
原文の言語: 英語
Full code optimization workflow - from analyzing code to running optimization and reviewing results
原文の言語: 英語
Produce or update the workspace brief — load context, identify focus repo + user lean, cross-reference activity into Kai-relevant action items, synthesize, save
原文の言語: 英語
Daily autonomous work cycle — check workspace state, propose tasks, execute approved work, save a dashboard briefing
原文の言語: 英語
Seed Kai's memory on a fresh local install — infer who the user is and what the project(s) are from the workspace + git (single repo or a multi-repo parent dir), ask only what can't be inferred, and commit durable facts via the memory tool so future sessions…
原文の言語: 英語
Kai joins the team — onboards through GitHub data (repos, team, recent PRs, branches, conventions), then publishes an initial briefing with proposed action items
原文の言語: 英語
Analyze AWS costs, find waste, and recommend optimizations using read-only MCP tools
原文の言語: 英語
Monitor and analyze AWS infrastructure performance using read-only MCP tools
原文の言語: 英語
Set up automated recurring code audits and optimization monitoring with cron jobs
原文の言語: 英語
How to use Kai platform tools — LOAD THIS FIRST before running any audit, optimization, or repo management operation
原文の言語: 英語
Monitor Railway projects, diagnose deployment failures, and audit infrastructure using read-only MCP tools
原文の言語: 英語
Analyze Vercel serverless functions, identify expensive code, and optimize it via Kai Evolve
原文の言語: 英語
Autonomous periodic codebase hygiene — find structural problems (redundant helpers, dead code, incomplete features, premature abstractions, inconsistent patterns) and propose focused fixes as GitHub issues
原文の言語: 英語
Fast, opinionated first-pass assessment of a connected repo — stats, security surface, code health, architecture, AI code smell — delivered as a severity-ranked report with actionable follow-ons
原文の言語: 英語
Research and explain Kai outputs - find academic papers, benchmarks, and prior art that explain WHY results work
原文の言語: 英語
Full code audit workflow - from adding a repo to reviewing vulnerabilities and filing issues
原文の言語: 英語
Run a local kai-security audit with the security_scan plugin tool and act on the findings (local-first, no cloud backend)
原文の言語: 英語
Detect codebase patterns — commit velocity anomalies, codebase drift, and dependency risks — and persist them as workspace learnings
原文の言語: 英語
Prioritize and explain security vulnerabilities found by Kai scans with research context
原文の言語: 英語
Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, and CLI/type generation.
原文の言語: 英語
Built-in MCP (Model Context Protocol) client that connects to external MCP servers, discovers their tools, and registers them as native Kai Agent tools. Supports stdio and HTTP transports with automatic reconnection, security filtering, and zero-config tool…
原文の言語: 英語
Edit PDFs with natural-language instructions using the nano-pdf CLI. Modify text, fix typos, update titles, and make content changes to specific pages without manual editing.
原文の言語: 英語
Extract text from PDFs and scanned documents. Use web_extract for remote URLs, pymupdf for local text-based PDFs, marker-pdf for OCR/scanned docs. For DOCX use python-docx, for PPTX see the powerpoint skill.
原文の言語: 英語
Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.
原文の言語: 英語
Free web search via DuckDuckGo — text, news, images, videos. No API key needed. Use the Python DDGS library or CLI to search, then web_extract for full content.
原文の言語: 英語
Query Polymarket prediction market data — search markets, get prices, orderbooks, and price history. Read-only via public REST APIs, no API key needed.
原文の言語: 英語
Use when completing tasks, implementing major features, or before merging. Validates work meets requirements through systematic review process.
原文の言語: 英語