发现 Skills
为真实工作流程挑选经过整理的 Skill,连接、安装并开始使用。
table-extractor
Extract tables from PDFs with high accuracy using camelot. Handles complex table structures including merged cells, multi-line rows, and spanning headers. Use when a user asks to extract a table from a PDF, pull tabular data from a document, convert PDF tables to CSV or Excel, or parse structured tables from reports.
tailwind-animate
Add animations to Tailwind CSS projects. Use when implementing CSS animations with Tailwind, adding entrance effects, building animated components, or creating loading spinners and skeleton screens.
apply-job
Automated job applications with AI-powered resume tailoring, cover letters, recruiter outreach, interview prep, ATS optimization, and smart analytics.
ui-frontend-design
Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications. Generates creative, polished code that avoids generic AI aesthetics.
figma-flutter
Expert capability to convert Figma selections into production-ready Flutter widgets using MCP.
SECI-GRAI Knowledge Creation
This skill should be used when the user asks about "SECI model", "knowledge creation cycle", "tacit vs explicit knowledge", "knowledge conversion", "GRAI framework", "human-AI knowledge collaboration", "socialization externalization combination internalization", "knowledge spiral", "what phase of knowledge creation", or needs to understand which phase of knowledge work a task involves. Provides the theoretical foundation for knowledge management across all contexts.
ask-questions-if-underspecified
Clarify requirements before implementing. Do not use automatically, only when invoked explicitly.
nest-devices
Control Nest smart home devices (thermostat, cameras, doorbell) via the Device Access API. Use when asked to check or adjust home temperature, view camera feeds, check who's at the door, monitor rooms, or set up temperature schedules.
code
Extract source files + configs into a normalized, copy-paste-ready artifact for LLM consumption. Follows docling extraction philosophy: recursive file collection → semantic grouping → markdown + JS...
apim-policy-authoring
Creates production-ready Azure API Management policy XML for authentication (OAuth 2.0, JWT validation, subscription keys), rate limiting, CORS configuration, error handling, and API transformations. Use when implementing API security, access control, or request/response processing logic.
image-analysis
In the OpenSpec project, parse user-provided design images, prototypes, screenshots, or architecture diagrams and convert visual information into structured descriptions; automatically load when requirement analysis involves the front end or contains images. Parsing results are incorporated into requirement descriptions and scenario descriptions in specs, and can also provide input for project-analysis and coding-implement.
kp-specialized-domain
Domain knowledge for 10 specialized subjects: philosophy, theology, physical education, nature studies, home economics, visual arts, music, trades, astronomy, learning to learn. Use when generating Specialized & Deepening tier pack content.
tailwindcss
Guide for implementing Tailwind CSS - a utility-first CSS framework for rapid UI development. Use when styling applications with responsive design, dark mode, custom themes, or building design systems with Tailwind's utility classes.
select
Swarm-ready work selector: choose one source (invocation list, `SLICES.md`, or `plan-N.md`), refine it into dependency-aware atomic tasks, and emit an OrchPlan (waves + delegation) plus optional pipelines. Use for prompts like `$select`, `use $select`, `pick the next ready slice`, `orchestrate workers from SLICES`, or `what should run in parallel next`. Plan-only; no writeback; orchestration-agnostic.
managing-policies
Manages Turnkey policies for access control and transaction governance: ALLOW/DENY policies, consensus expressions, allowlists, spending limits, multi-sig approval, smart contract ABIs, and policy evaluation debugging.
ralphinho-rfc-pipeline
RFC-driven multi-agent DAG execution pattern with quality gates, merge queues, and work unit orchestration.
channel-optimizer
Auto-tune channel parameters to find optimal offset, squelch, and AGC settings for best audio quality. Use when setting up new channels, improving weak signals, or finding the sweet spot for demodulation settings.
gsd-note
Zero-friction idea capture. Append, list, or promote notes to todos.
programmatic-seo
When the user wants to create SEO-driven pages at scale using templates and data. Also use when the user mentions "programmatic SEO," "template pages," "pages at scale," "directory pages," "location pages," "[keyword] + [city] pages," "comparison pages," "integration pages," or "building many pages for SEO." For auditing existing SEO issues, see seo-audit.
zsxq-user
知识星球用户信息:查看当前登录用户的个人资料、查询跨星球的最近发主题足迹。当用户需要查看自己的用户 ID、昵称、头像、认证状态,或查看自己最近在各星球发过的主题时使用。
multi-agent-council
Structured multi-agent deliberation for complex, multi-tradeoff problems — architecture design, system proposals, high-stakes decisions. Spawns competing-perspective agents that research and argue from constrained value functions. Trigger: "run a council", "council this", "explore from multiple angles", "design a council for". Heavyweight — do NOT trigger for simple questions or problems with one obvious direction.
token-usage-monitoring
Add a real-time token-usage footer to every Hermes response in CLI and Gateway by modifying the agent core and display layers.
volt-firmware
Produce a complete firmware architecture spec for a described device — layer diagram, module responsibilities, HAL interface definitions, key state machines, RTOS decision. Use when asked to "design firmware architecture", "plan embedded firmware", "architect an IoT device", "how should I structure this firmware", or given a device description and asked what the firmware should look like.
audit_trading_foundation
Evaluates any proposed trading strategy as a complete mechanical engine — stress-testing for component completeness, logical alignment, mathematical capacity, and structural efficiency. Takes a strategy_manifest (philosophy, setup, risk, tactics, routine) and user_thresholds (target CAGR, max drawdown, max consecutive losses) as inputs. Runs 4 steps: Completeness Audit, Alignment & Bonds Test, Monte Carlo Overheating Simulation (1000 iterations), and Efficiency Re-routing. Returns an audit_report with is_deployable boolean, missing components, alignment errors, capacity warnings, and optimization guidance.