所有 Skills

gpt-image-2

23design-ui

使用 RunComfy 上的 OpenAI GPT Image 2（ChatGPT Images 2.0）生成和编辑图像。文档介绍了 GPT Image 2 的优势（嵌入文本、徽标、多语言排版、指令精确性）、其 3 种固定尺寸、保留性编辑语言，以及何时改用其他模型（Flux 2 / Nano Banana Pro / Seedream）。通过本地 RunComfy CLI 调用 `runcomfy run openai/gpt-image-2/text-to-image` 或 `/edit`。触发词包括“gpt image 2”、“gpt-image-2”、“ChatGPT Images 2”、“image 2”或任何明确要求使用此模型生成或编辑的请求。

agentspace-so

Nia

使用 Nia AI 索引和搜索代码仓库、文档、研究论文、HuggingFace 数据集、本地文件夹、Slack 工作区、Google Drive、X（Twitter）和软件包。包括身份验证引导、Oracle 自主研究、GitHub 实时搜索、Tracer 代理、依赖分析、上下文共享、代码顾问、文档代理、数据提取、文件系统操作和通用连接器。

nozomio-labs

launchdarkly-flag-discovery

23mcp-integrations

Audit your LaunchDarkly feature flags to understand the landscape, find stale or launched flags, and assess removal readiness. Use when the user asks about flag debt, stale flags, cleanup candidates, flag health, or wants to understand their flag inventory.

launchdarkly

onboarding

Onboard a project to LaunchDarkly: kickoff roadmap, resumable log, explore repo, MCP, companion flag skills, nested SDK install (detect/plan/apply), first flag. Use when adding LaunchDarkly, setting up or integrating feature flags in a project, SDK integration, or 'onboard me'.

launchdarkly

image-bg-remove

Background removal: transparent PNGs, cutouts, product photos, portraits, pets, group photos. Uses dedicated Bria RMBG 2.0 model — no prompt needed, fast (~3s), cheap ($0.01). Use when removing backgrounds, creating transparent PNGs, making cutouts, extracting foreground subjects, or preparing images for compositing.

starchild-ai-agent

image-tryon

Virtual try-on: clothing, accessories, hairstyles, makeup, glasses, hats, shoes, watches. Use when the user wants to see how an item looks on a person — e.g. "try on this dress", "put these glasses on me", "show me with this hairstyle", "what would I look like in this outfit".

starchild-ai-agent

video-analysis

"Video understanding for any model \u2014 native passthrough for small\

starchild-ai-agent

bulk-operations

Foundation patterns for the `hubspot` CLI — JSONL piping, batch read, pagination, dry-run/digest/confirm for destructive ops, and `hubspot history` for recovery. Every other skill builds on this one.

crm-data-quality

23security

Find incomplete records, normalize field values in bulk, dedupe with `hubspot objects merge`, and audit custom properties. Builds on `bulk-operations` for JSONL piping and dry-run/digest/confirm.

workflow-automation

List, inspect, create, update, and delete HubSpot workflows (v4 flows API) from the `hubspot` agent CLI, not the `hs` developer CLI.

deal-management

Run the full deal lifecycle from CLI — discover pipelines/stages, qualify MQLs into deals with associations, advance/reassign in bulk, hunt stalled deals, and close.

sales-reporting

Daily briefings, pipeline snapshots, and win/loss analysis from the terminal — closing-this-week, open pipeline by stage/owner, and closed-won vs closed-lost over a period.

communication-history

Retrieve activity history (calls, emails, notes, meetings, tasks) for a CRM record and assemble pre-call briefs.

data-enrichment

Match external CSV/JSONL records to CRM contacts (by email) or companies (by domain) and write enriched data back in one pass using `hubspot objects upsert`.

custom-object-management

23security

Discover, create, update, and delete custom CRM object schemas. Use when defining a new object type, inspecting existing schemas, or removing one. Record CRUD on custom objects is identical to standard objects — see `bulk-operations`.

sales-execution

Log sales activities — calls, notes, meetings, tasks — against contacts and deals, with the mandatory create-then-associate step that makes them visible in the CRM.

team-ownership

Assign and reassign CRM record ownership, audit who-owns-what across object types, and handle rep transitions. Built on `bulk-operations`.

skill-creator

23prompting-reasoning

Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy.

cline

customer-retention

Identify inactive/at-risk customers via CRM filters and create follow-up tasks at scale. Builds on `bulk-operations`; defers activity-creation specifics to `sales-execution`.

audience-targeting

Build a targeted contact segment by filtering on lifecycle, engagement, jobtitle, geography, or firmographics — then export it as JSONL for a campaign or downstream tool.

quote-to-cash

Build the product catalog, assemble quotes (line items + associations to deals), and track invoices and subscriptions through to revenue.

review-team

23testing-qa

Use when the user asks for a code review by a fleet of specialized reviewer agents, wants multiple independent reviewer perspectives, or asks to run reviewers in single-pass or iterative fix-until-clean mode. Launches focused subagents for correctness, security, architecture, conventions, simplicity, UX, reliability, telemetry, testing, compatibility, and documentation review.

cline