AI & ML

pedrobraiti Bundle

VIZIER — the multi-horizon trading brain of the Scout/Valet/Vizier stack. Use whenever the user wants market research, a portfolio review or health check, a thesis on a stock/ETF/crypto, or to actually buy/sell across US equities & ETFs (Interactive Brokers) and crypto spot (CCXT). It orchestrates the Scout (data) and Valet (execution) MCP servers, decides with conviction-sized risk discipline, remembers theses between sessions, and executes only under explicit intent — confirmation by default, autonomy strictly opt-in. Triggers on: "research/analyze X", "what's happening in the market", "analyze the market and bring me recommendations" / "find the best opportunities" (→ manager breadth sweep), "is my portfolio healthy", "buy/sell $N of X", "invest $N across N ideas", an empty/vague call (→ read-only market sweep), or "should I buy/sell X".

permaweb Bundle

Permaweb Agent Social Protocol - Enable agents to create profiles, publish posts, comment, follow other agents, and build decentralized social infrastructure on Arweave. Use when agents want to participate in the PASP ecosystem, create permanent social presence, or interact with other agents across the permaweb.

pestphp Skill

Use when writing or evaluating Pest tests for Laravel AI agents (`Laravel\Ai\Contracts\Agent`): evals in `tests/Evals`, `expect(...)->prompt(...)`, model-response assertions, judge or embedding scorers, tool-call or trajectory checks, custom scorers, or eval providers. Trigger for evals, `--evals`, scorers, or testing an agent's answer; exclude ordinary tests that never call a model.

phatnguyen975 Bundle

Audit and log AI interactions into a structured monthly log file. Trigger this skill whenever the user invokes /ai-audit-log or /ai-audit-log --last=N (N: 1–5). The skill reads conversation context to extract prompts and outputs, then asks the user to evaluate each interaction via a structured form. Use this skill to track AI usage quality, model performance, and revision patterns over time.

phatnguyen975 Bundle

Design performance test cases and test data specifications for an entire system — from raw system documentation (BRD, FRD, use cases, NFR/SLA docs, architecture docs) to implementer-ready Performance Test Case Specifications — without depending on any specific load-testing tool (JMeter, k6, Gatling, LoadRunner). Use whenever the user needs to discover which Operational Profiles a system needs tested, design load/stress/spike/soak/scalability/volume test scenarios, define workload models, calculate virtual users and throughput, or produce test data specifications from requirements. Use when the user mentions "performance test design", "load test scenario", "workload model", "operational profile", or "test data for performance testing", or asks how to design performance test cases from requirements — even without naming a specific technique. Produces design documents and specifications only; does NOT write or generate executable test scripts/code for any tool — that remains a separate implementation step.

peiiii Skill

Use when someone needs to install, log in to, configure, or operate the GemiGo CLI (`gemigo`), especially for its current static-site publishing workflow, or when an agent must create or validate `gemigo.app.json` and run real CLI commands.

pengchujin Bundle

JZSub downloads maximum-quality videos, covers, and source subtitles from YouTube, Bilibili, and other yt-dlp platforms; translates foreign subtitles with the active session model; creates bilingual captions; and burns them into MP4. Use for video download, video-only or subtitle-only delivery, Chrome-authenticated download, bilingual subtitles, or hard-burned caption delivery.

peter-gy Bundle

Ship and inspect Agent Skills, MCP server configuration, and client extension files with a Python distribution. Use when adding an Agent Plugin to a Python project, attaching a prebuilt wheel, loading the exact project or installed selection, selecting a named skill, reading checked skill resources, resolving a stdio MCP launch, or verifying package artifacts.

peterfei Bundle

后端开发 Agent — API 设计、数据库优化、服务器端逻辑、认证授权、性能优化

peterfei Bundle

全栈开发 Agent — 前后端一体化开发、API 集成、端到端功能实现

peterfei Bundle

产品经理 Agent — 产品规划、需求分析、用户研究、路线图制定、竞品分析

phenomenoner Bundle

Optimize an OpenClaw agent setup (model routing, context management, delegation, rules, memory). Use when asked about optimizing agents, improving OpenClaw setup, agent best practices, heartbeat/cost guardrails, or choosing optimization priorities across cost/quality/reliability.

pityfish Bundle

Agent Skill Manager (ASM)

peterfei Bundle

QA 工程师 Agent — 测试策略、测试用例设计、自动化测试、性能测试、安全测试

peterfei Bundle

技术负责人 Agent — 技术架构决策、代码审查、团队技术管理、技术规划与路线图

peterfei Bundle

商业模式画布的结构化思维工具。基于6个一手来源（含博士论文、学术专著、同行评审论文）的深度调研， 提炼5个核心原理和完整的操作协议。 触发词：「商业模式画布」「BMC分析」「商业模式设计」「画布分析」。

pixeltable Bundle

Build multimodal AI applications with Pixeltable. One application file declares TableModel tables, computed columns, embedding indexes, and FastAPI routes; inserting a row runs the transforms. Use when building RAG, processing images, video, audio, or documents, or serving an API over that data. Do not use for general Python or direct PostgreSQL administration.

pengliangtian06-commits Bundle

自包含的数学建模竞赛全流程代理，用于从题面与附件完成赛题分析、建模设计、可复现编程、统计与稳健性验证、数据图和按需概念图、文献检索与引用核验、Typst/LaTeX 论文写作以及独立提交验收。适用于新建竞赛项目、根据 run-manifest.json 断点续跑，或对已有数学建模项目执行独立审查；仅在用户显式调用 $math-model-agent-plus 时使用。

peterfei Bundle

心智模型融合（Mental Model Fusion）思维工具。整合多学科核心心智模型形成网格化知识结构，避免"锤人综合征"，提升决策质量。基于 Charlie Munger 的 latticework 理论。 触发词：「心智模型」「mental models」「多学科思维」「latticework」「跨学科」「锤人综合征」。

peterfei Bundle

全链路落地页生成 Agent Skill。触发词：landing page、落地页、产品页、营销页、主页设计。 5 阶段协议：需求采集 → 策略规划 → 设计系统 → 代码生成 → 质量验证。 适用：单页转化型落地页（SaaS/电商/服务）。不适用：多页网站、后端集成、复杂交互应用。

planetscale Bundle

Drive the local PlanetScale MCP server (stdio) end to end and capture proof that a tool behaves correctly. Use after changing anything in src/tools/ or src/lib/, before pushing to Gram, or when asked to verify/prove MCP tool behavior.

pierrecomputer Skill

Agent skill for interacting with code.storage, a managed Git infrastructure layer. Provides repository creation, branching, commits, file access, diffs, search, notes, GitHub sync, ephemeral branches, and forking through a RESTful HTTP API authenticated with customer-signed JWTs. Every repo operation scoped per-JWT.

piexian Skill

Manage AstrBot Skills and MCP servers through dedicated lifecycle tools, while using AstrBot built-in file tools for Skill file inspection and edits.

pika-labs Bundle

Join a Google Meet or Zoom call as a video meeting agent via PikaStreaming. Trigger: user drops a Google Meet or Zoom link, or asks to join a meeting.

peteromallet Skill

Export Claude Code, Codex, and other coding-agent conversation history to Hugging Face. Use when the user asks about exporting conversations, uploading to Hugging Face, configuring DataClaw, reviewing PII/secrets in exports, or managing their dataset.

pipelex Skill

Automates the kajson release workflow: bumps the version in pyproject.toml, finalizes the CHANGELOG.md Unreleased section, runs quality checks, creates a release/vX.Y.Z branch, commits, pushes, and opens a PR to main. Use when user says "release", "cut a release", "bump version", "prepare a release", "make a release", "ship it", "create release branch", or any variation of shipping a new version of kajson. The user can optionally provide changelog content inline when invoking the skill (e.g. "/release Added new encoder feature"), which will be used as the changelog entry for this version.

pireel Bundle

Edit videos in Pireel Studio through the `pireel` MCP server — first-run setup, local and stock media import, transcript editing, multi-source montage, multiple editable outputs, storyboarding, designed graphics, captions, themes and export. Read this whenever the user wants to install/connect Pireel or edit, cut, remix, storyboard, illustrate, caption, theme or export a Pireel video, and before the first Pireel MCP call or after a tool failure. Routes to the matching bundled playbook.

plastic-labs Skill

Explore, construct, and speak with identities in an LLM's latent space using YouSim's simulator prompts and its /locate /summon /speak /steer /request command grammar. Runs on the caller's own model - no API key, no network, works offline. Use when asked to run a YouSim session, locate or summon an identity, develop an agent persona or backstory, or produce IDENTITY.md / SOUL.md style identity files.

pmndrs Bundle

Use this skill when an AI agent needs to inspect, verify, debug, or profile a live Vite app by running temporary snippets inside the browser page and reading browser logs or captured artifacts. Use for client state after interactions, imported app modules, DOM state, human-like input, canvas/WebGL/Three.js state, screenshots, videos, CPU/network/performance/heap analysis, WebXR/Three.js XR with IWER, and runtime-only behavior without editing app files.

prism-shadow Bundle

Run the Verify LLM Vendors benchmark using the PyPI-installed `agent-vendor-verifier` CLI; before each test run validate that config.yaml is complete, ask the user for any missing required config values, then read config and confirm with the user the list of models, vendors and baseline from config plus test-file-path, config-file-path, vendor-concurrency, request-concurrency, retries, timeout; before running, check whether `agent-vendor-verifier` is installed and install it from PyPI if missing; when the user asks to add or update a benchmark test plan, ask for model name, model id, vendor, api key, provider if needed, and write the entry into config.yaml; generate or edit config.yaml; check whether runs succeeded via summary.json; aggregate or report run data and final results. Use when the user wants to run the tool-call validation benchmark, add or update test plans, create or change benchmark config, inspect benchmark outcomes, verify success from summary files, or get a consolidated view of metrics (suc

plutosecurity Bundle

Looks up the latest signed Plutonium security assessments for AI connectors, desktop extensions, MCP servers, plugins, and skills across Claude, Microsoft Copilot, and Plutonium Market-Space. Use when a user asks whether an AI tool is safe, risky, secure, trusted, what permissions or capabilities it has, why it received a rating, or explicitly asks to use the Plutonium Skill. Do not use for unrelated product questions or independently assess a product absent from the catalog.

pluviobyte Bundle

洁癖 Skill: Audit installed AI agent skills across Codex, Claude Code, Cursor, and optional project-local skill folders. Use when the user asks which skills are installed, how often Claude Code/Codex/Cursor used skills, whether a skill was used recently, which skills are stale or unused, or wants cleanup/removal/disable recommendations for skills.

polytrackers Bundle

Copy trading and paper (mock) trading for Polymarket, built for AI agents. Use this skill for Polymarket market intelligence, whale tracking, anomaly detection, copy-trading review, and $10K mock/paper-trading experiments via the PolyTrackers MCP server and REST API. Covers Agent API Key setup, tier/scope guidance, trade preflight safety, and mock wallet workflows.

pomelor611 Bundle

Use when an agent needs to create or maintain LibTV CLI video shorts from storyboards, scripts, or reference images.

ponomr Bundle

A toolkit of 30 decision-making, problem-solving, systems-thinking, and communication models, plus a /logic mode that audits an argument's validity. This skill should be used when a user names a specific model, or describes a situation that calls for one: framing or reframing a problem, comparing options, setting priorities, tracing consequences, finding root causes, estimating an unknown quantity, planning toward a distant goal, mapping or stress-testing a system, resolving a conflict, giving feedback, or structuring a message. It should also be used to check reasoning for logical validity and fallacies. When the method is left open, the skill selects the smallest useful set of models automatically.

probelabs Skill

Guide for building and extending visor AI assistants. Use when creating new skills, workflows, checks, or modifying assistant.yaml configurations. Covers the full development loop including YAML tests, config validation, real provider testing, and trace debugging.