Skills
99,719 packaged capabilities and playbooks for agents. Install any of them with one command.
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Convenes expert panels for problem-solving. Use when user mentions panel, experts, multiple perspectives, MECE, DMAIC, RAPID, Six Sigma, root cause analysis, strategic decisions, process improvement, or asks for philosophers/ancients (Socratic, Aristotelian, Stoic method experts).
Screen convertible bonds and assess premiums, liquidity, covenant risk, and linkage with underlying stock quality. Use when the user asks about convertible bond opportunities, bond screening, convertible bond premiums/covenant risk, or needs a convertible bond list.
Writes or reviews agent skills and slash commands built from reusable workflows, domain expertise, project conventions, or shortcut instructions. Use before creating, editing, or reviewing any skill or slash-command file, and when the user asks to package repeated instructions behind a name or to evaluate or prune an existing skill.
Designs and creates Grafana dashboards with gcx, using `gcx dashboards snapshot` as a visual feedback loop. Use to build a new dashboard, add panels, variables, or annotations, or redesign a dashboard. Not for inventory, audit, or pull/push of existing dashboards (use manage-dashboards).
Turn a CodeSpring feature's notes + PRDs into a numbered, prioritized Kanban task list linked to that feature. Reads the feature, its sub-features, its PRDs, and any features that link to it, then writes ordered tasks that are safe to build in parallel — each with what/why/what-it-touches/what-not-to-touch/dependencies. Use when the user has a feature planned and wants a build plan. Triggers, "create tasks", "make a task list", "break this feature into tasks", "generate a build plan", "turn my PRD into tasks", "what do I build first".
The CodeSpring entry point. Connects the agent to the user's CodeSpring account, reports where the project actually is (map? notes? PRDs? tasks?), and names the single next step — audit an app that isn't doing its job, import one that is, plan a new one from scratch, or carry on from wherever the project already got to. Routes on two questions: is there code, and does it do the job (five specific checks, not "do you trust it"). Safe to run at any point, not just the beginning. Use when the user is unsure where to begin or what to do next, or right after installing the CodeSpring skills. Triggers, "get started with CodeSpring", "set up CodeSpring", "connect CodeSpring", "I just installed the CodeSpring skills", "what can I do with CodeSpring", "where do I start", "what should I do next".
Re-sync CodeSpring with the real code after building. Independently checks whether the features, notes, and PRDs in CodeSpring still match what the code actually does now (features drift from their plan once built), then updates CodeSpring to match. Read-only on the codebase — it only reads code/git and writes to CodeSpring. Use after a feature is finished, or periodically, to keep the map from going stale. Triggers, "resync my codebase", "is CodeSpring up to date", "check for stale PRDs", "update CodeSpring from the code", "my plan drifted from the code".
Flag hunting strategy for CTF challenges. Use after gaining target access via RCE/LFI/SQLi/webshell and failing to find the flag with regular ls/cat commands. Covers all possible flag storage locations: filesystem, databases, environment variables, source code, memory. Search priority ordered by success rate - try standard paths first, then scan the whole disk.
Author or edit a Datex Studio Custom Angular Component (CAC, configurationTypeId=36) on a branch via the `dxs ng` command family — a screenshot-driven create → edit-regions → preview → push loop for bespoke Angular UI (charts, dashboards, custom widgets).
Persistent, budgeted, DAG-ordered runner for parallel `claude -p`, `codex exec`, or `pi -p` workers in tmux. Use ONLY when you need persistence across sessions, per-worker budget caps, dependency ordering, or mixed models/providers per worker. For ad-hoc parallel sub-agents inside a live conversation, use Claude Code's built-in Agent tool instead.
Aggregated trending-list API service across the web — based on the open-source DailyHotApi project, auto-deployed locally, with zero-configuration access to real-time trending data from 40+ platforms. Covers major platforms such as Douyin, Weibo, Zhihu, Bilibili, Baidu, Toutiao and Kuaishou. Trigger words: 热点、热搜、趋势、热榜、trending、hot topics.
Infrastructure and practices for reproducible computational research. Covers environment management, data versioning, code documentation, and sharing protocols that enable others to reproduce your results. Use when ", " mentioned.
Kaggle datasets, models, sources, and kagglehub workflows. PROACTIVELY activate for: (1) downloading datasets with kagglehub, (2) uploading datasets, (3) downloading or uploading Kaggle models, (4) competition_download, (5) notebook_output_download, (6) choosing Kaggle CLI vs kagglehub, (7) attaching dataset_sources, competition_sources, kernel_sources, or model_sources, (8) model artifact transfer, (9) source dependency cleanup, (10) kagglehub limitations for notebooks. Provides: dataset/model transfer patterns, source attachment guidance, tool selection, and limitation checks.
This skill should be used when the user asks to "create a deck", "make a presentation", "build slides", "pitch deck", "investor deck", "sales presentation", "design a deck", "interactive presentation", "presenter mode", "HTML slides", "video background deck", "deck playground", "visual deck editor", "deck builder UI", "publish deck link", or needs to generate a complete deck with minimal friction. Handles low-question discovery, early Deck Creator UI launch, theme selection, copywriting, parallel slide generation, PDF stitching, optional HTML presenter, and publishing workflows.
Manifest builder. Turns shared understanding into a verifiable Manifest with Deliverables, Acceptance Criteria, Global Invariants, and an Initial Approach. Use when planning features, scoping refactors, debugging complex issues, or when the user asks to define, scope, plan, spec out, make a manifest, or break down a task.
Skill dedicated to the lighting pitfall-avoidance guide. Covers the full process of no-main-light design, light strips and ambient light, main lights and ceiling lights, color temperature and color rendering and light selection, zoned lighting, and general lighting, integrating in reverse order the highlights of the Xi'an Renovation Classroom member-edition knowledge base to help users renovate with less hassle and avoid lighting pitfalls.
Designs original, compact mini-games — rules, controls, scoring, hazards, and difficulty curves — for any input scheme, including one-button (tap / hold / release) games. Use when defining a new mini-game concept, converting creative constraints or seeds into mechanics, choosing an input scheme, checking state-variable necessity, or preventing idle, hold-only, or mashing play from becoming optimal.
Writes and refines dialogue that serves plot and reveals character through subtext, intention, and behavioral exchange — applying McKee's subtext principle and Sorkin's intention-and-obstacle model. Use when dialogue feels flat, expository, or 'on the nose.'
The one spawn path for `/dispatch` — `scripts/spawn-confined.sh <harness>` forks the worker's worktree, wraps it in a kernel-level jail, and runs the harness headless inside it. Every harness takes this path; there is no in-session arm and no unconfined fallback. The worker cannot commit — it hands back an uncommitted working tree and the orchestrator imports it. Reached from the `/dispatch` router; do not invoke directly
Distill knowledge from any source — blog posts, articles, documentation, GitHub repos, video transcripts, books, papers — into a well-structured agent skill. Use when the user shares a URL, article, repo, or body of knowledge and wants it turned into a reusable skill. Triggers on: "make a skill from this", "distill this into a skill", "create a skill from this article", "turn this repo into a skill", "extract patterns from", "convert to a skill". This skill complements the `skill-creator` skill — skill-creator handles the mechanics (frontmatter, packaging, init scripts), this skill handles the distillation process.
Opinionated Django development patterns for well-structured, maintainable projects. Use when writing Django models, migrations, views, admin configuration, Celery tasks, or external service integrations. Also use when reviewing or refactoring Django code or creating new Django apps. Do NOT use for: Django Ninja API endpoints (use django-ninja skill), FastAPI, Flask, general Python (use python skill), test files (use pytest skill), or frontend code.
Prepare or update user-facing Diataxis documentation, including instructions, mirrors, and navigation affected by an authorized behavior change. Preserve prerequisites, limitations, and recovery details. Activate yourself after completing an authorized behavior change to assess affected documents and update them or record a concrete no-update reason; this trigger is owned by the skill and needs no project instructions. Russian discovery terms: подготовить документацию, обновить документацию при изменениях.
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework. Templates for tutorial / how-to / reference / explanation live under templates/.
Domain name multi-query tool — one-shot lookup of ICP filing (备案) and WHOIS registration info for any domain. Triggered whenever the user mentions "domain lookup", "ICP", "备案", "WHOIS", "registration info", "check this domain", "domain details", "域名查询", "查一下这个域名", or simply pastes a domain and asks "check it" or "查一下". Trigger even for one-line requests.
Scan .NET/C# code for performance anti-patterns (async, memory/strings, collections/LINQ, regex, serialization, I/O) with tiered severity, reporting findings without editing. Use when auditing hot paths, reviewing allocation-heavy code, or analyzing the API for optimization opportunities.
When the user wants to optimize oil and gas drilling operations, manage rig logistics, or coordinate upstream supply chains. Also use when the user mentions "well planning," "rig scheduling," "drilling supply chain," "mud logistics," "tubular management," "offshore logistics," "drilling materials management," or "completion operations." For midstream and downstream, see energy-logistics. For fuel distribution, see fuel-distribution.
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From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.