obsidian-charts
Create charts and visualizations from note data using Chart.js via dataviewjs. Use when user wants bar charts, line graphs, pie charts, or any data visualization. Requires Obsidian Charts plugin.
Create charts and visualizations from note data using Chart.js via dataviewjs. Use when user wants bar charts, line graphs, pie charts, or any data visualization. Requires Obsidian Charts plugin.
Run integration tests against a live Obsidian vault using the obsidian CLI. Use for: verifying plugin behavior end-to-end, checking DOM state after commands, asserting no runtime errors, creating/reading/deleting test fixtures in the vault, taking screenshots, inspecting console output. Do NOT use for unit tests or mocked environments.
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert opinions. Works like a web research agent but uses X as the source. Use when: (1) user says "x research", "search x for", "search twitter for", "what are people saying about", "what's twitter saying", "check x for", "x search", "/x-research", (2) user is working on something where recent X discourse would provide useful context (new library releases, API changes, product launches, cultural events, industry drama), (3) user wants to find what devs/experts/community thinks about a topic. NOT for: posting tweets or account management. Note: currently uses recent search (last 7 days). Full-archive search is available on the same pay-per-use X API plan but not yet implemented in this skill.
Cascade-merge maintained Symfony UX branches from oldest to newest (e.g. 2.x to 3.x). Use when the user says "merge branches", "merge up", "cascade merge", "sync branches", or "update branches".
Understand how Spec Kitty manages git: what git operations Python handles automatically, what agents must do manually, worktree lifecycle, auto-commit behavior, merge execution, and the safe-commit pattern. Triggers: "how does spec-kitty use git", "worktree management", "auto-commit", "who commits what", "git workflow", "merge workflow", "rebase WPs", "worktree cleanup", "safe commit". Does NOT handle: runtime loop advancement (use runtime-next), setup or repair (use setup-doctor), mission selection (use mission-system).
Orchestrate the implement-review loop for Spec Kitty work packages using any configured agent. Covers agent dispatch, state transitions, rejection cycles, arbiter escalation, and dependency-aware sequencing across all 13 supported coding agents. Triggers: "implement and review WPs", "run the implement-review loop", "orchestrate WP implementation", "dispatch agents for WPs", "coordinate implement and review", "sprint through WPs". Does NOT handle: specify/plan/tasks phases, setup or repair, glossary maintenance, or direct code editing by the orchestrator.
Review runtime-owned outputs using the Spec Kitty review workflow surface, then direct approval or rejection with structured feedback. Triggers: "review this work package", "check runtime output", "approve this step", "review WP", "is this WP ready to approve", "check this implementation". Does NOT handle: setup-only repair requests, direct implementation work, editorial glossary maintenance, or runtime loop advancement.
Install, verify, and recover the modern Spec Kitty 2.0.11+ operating surface. Triggers: "set up Spec Kitty", "skills missing", "next is blocked", "runtime is broken", "doctrine assets are missing", "my agent can't find the skills". Does NOT handle: generic coding questions with no Spec Kitty context, direct runtime loop advancement, or editorial glossary maintenance.
Review a fully merged Spec Kitty mission post-merge (all WPs done/approved) to verify spec→code fidelity, FR coverage, drift, risks, and security. Triggers: "review the merged mission", "post-merge mission review", "verify the completed mission", "audit the mission implementation", "mission-level acceptance review", "is this mission releasable", "final review before tagging", "cross-WP coverage audit". Does NOT handle: per-WP review during implementation (use spec-kitty-runtime-review), implement-review loop orchestration (use spec-kitty-implement-review), setup or repair (use spec-kitty-setup-doctor), or glossary maintenance (use spec-kitty-glossary-context).
Builds Flutter layouts using the constraint system and layout widgets. Use when creating or refining the UI structure of a Flutter application.
Implements caching strategies for Flutter apps to improve performance and offline support. Use when retaining app data locally to reduce network requests or speed up startup.
Interoperates with native platform APIs on Android, iOS, and the web. Use when accessing device-specific features not available in Dart or calling existing native code.
Measures and optimizes the size of Flutter application bundles for deployment. Use when minimizing download size or meeting app store package constraints.
分章节创作引人入胜的中文小说。支持各种题材(悬疑/言情/奇幻/科幻/历史等),支持10-50章长篇创作,每章3000-5000字,结尾设置悬念钩子。强调深度润色去除AI痕迹,确保文字自然流畅。 当用户要求:写小说、创作故事、分章节写作、连续剧情、章节悬念、长篇小说时使用。
Extract text from PDF files, translate it to a target language, and save the result as a Markdown file. Use this skill when the user wants to translate a PDF document or asks to "convert PDF to Chinese".
Expert-in-the-loop retrosynthetic planning workflow. Use when you need to break down complex target molecules into available starting materials, design synthetic routes, or collaborate with a human chemist to refine a proposed synthesis pathway.
Find the most suitable skill for a given biomedical task. Use this skill when: (1) You are unsure which skill to use for a specific biomedical task, (2) You want to discover available skills for a particular domain, (3) You need to compare multiple skills for a given use case.
Query CZ CELLxGENE Census (61M+ cells). Filter by cell type/tissue/disease, retrieve expression data, and integrate with scanpy/PyTorch for population-scale single-cell analysis. Use this skill when: (1) Querying single-cell expression data by cell type, tissue, or disease, (2) Exploring available single-cell datasets and metadata, (3) Training machine learning models on single-cell data, (4) Performing large-scale cross-dataset analyses.