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Skills dans ce dépôt
SkillsMP a collecté 18 034 skills depuis tomevault-io/tomes. Ouvrez un skill pour examiner sa source et ses détails.
tomevault-io/tomesAffichage de 40 skills collectés sur 18 034.
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase…
Langue du texte source : anglais
Use Hermes Vault as the canonical credential broker for Hermes and persistent sub-agents. Use when this capability is needed.
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
Use when the user asks for butflow mode, wants GitButler-driven implementation flow, or asks to implement a change through PR creation, CI monitoring, review-thread resolution, and merge in the assistant-ui monorepo.
Langue du texte source : anglais
Configure npm trusted publishing (OIDC) and lock down publishing access for a newly added publishable package in the assistant-ui monorepo. Use whenever a new public package is created under packages/* (a new package.json with `"private": false` / a new name…
Langue du texte source : anglais
Update dependencies across the assistant-ui monorepo (npm via pnpm + taze, Expo SDK-pinned packages, Python packages via uv, and GitHub Actions). Use when the user asks to bump, upgrade, or update dependencies (root, packages, examples, templates, python/*,…
Langue du texte source : anglais
Add, configure, and integrate assistant-ui components in React apps. Use when developers ask to add a chat thread, set up a runtime, integrate with AI SDK, configure tools, or build AI chat interfaces with assistant-ui. Use when this capability is needed.
Langue du texte source : anglais
Use when a user says "minimize this ty ecosystem change", "reproduce this ecosystem result", "investigate a primer difference", "investigate a mypy_primer difference", "investigate a mypy-primer difference", or asks to reproduce, investigate, or minimize…
Langue du texte source : anglais
Build AI agents on Cloudflare Workers using the Agents SDK. Load when creating stateful agents, durable workflows, real-time WebSocket apps, scheduled tasks, MCP servers, or chat applications. Covers Agent class, state management, callable RPC, Workflows…
Langue du texte source : anglais
Comprehensive Cloudflare platform skill covering Workers, Pages, storage (KV, D1, R2), AI (Workers AI, Vectorize, Agents SDK), networking (Tunnel, Spectrum), security (WAF, DDoS), and infrastructure-as-code (Terraform, Pulumi). Use for any Cloudflare…
Langue du texte source : anglais
Promote a duplicated React/JSX template-local component into the shared @asyncapi/generator-components package. Use this skill whenever the user asks to "migrate", "move", "promote", "extract", "share", or "consolidate" a component into generator-components…
Langue du texte source : anglais
Add a new ContestType and ContestTableProvider across 5 layers using TDD. Covers all 3 patterns. Asks targeted questions to gather pattern-specific requirements before touching code. Use when this capability is needed.
Langue du texte source : anglais
Analyze a major version dependency upgrade: summarize breaking changes, assess project impact, and propose new features to adopt. Outputs a plan.md and executes the upgrade. Use when this capability is needed.
Langue du texte source : anglais
Analyze a GitHub issue or file path and produce a phased refactoring plan. Outputs a TODO list only — does not make code changes. Use when this capability is needed.
Langue du texte source : anglais
Standard closing routine for an implementation session. Verifies tests, updates the plan checklist, proposes rule/skill additions, checks for bloat, and detects repeated instructions. Use when this capability is needed.
Langue du texte source : anglais
Use when: building the Robot binary, running the connection test case, checking where robot logs are written, asking to run task all from the repository root, or asking how to start the built robot from build/install/bin.
Langue du texte source : chinois
- `docs/development-policy.md`: コーディング規約、ブランチ戦略、コミットメッセージ規約など Use when this capability is needed.
Langue du texte source : japonais
Fixture used by PromptLoaderTest to verify frontmatter stripping. Use when this capability is needed.
Langue du texte source : anglais
Demonstrates how a skill lives in the workspace under Use when this capability is needed.
Langue du texte source : anglais
How to write and maintain `.claude/skills/*/SKILL.md` files: source-of-truth-first process, verification steps, and conventions. Use when this capability is needed.
Langue du texte source : anglais
How to write and maintain `.claude/skills/*/SKILL.md` files: source-of-truth-first process, verification steps, and conventions. Use when this capability is needed.
Langue du texte source : anglais
LLM-focused code review process for this repo: what to check, how to ground feedback in invariants/tests, and how to verify changes efficiently (including test-report.json). Use when this capability is needed.
Langue du texte source : anglais
How the atopile compiler builds and links TypeGraphs from `.ato` (ANTLR front-end → AST → TypeGraph → Linker → DeferredExecutor), plus the key invariants and test entrypoints. Use when modifying the compiler pipeline, grammar, AST visitors, or type…
Langue du texte source : anglais
LLM-focused workflow for working in this repo: compile Zig, run the orchestrated test runner, consume test-report.json/html artifacts, and discover/debug ConfigFlags. Use when this capability is needed.
Langue du texte source : anglais
How FabLL (faebryk.core.node) maps Python node/trait declarations into the TypeGraph + instance graph, including field/trait invariants and instantiation patterns. Use when defining new components or traits, working with the Node API, or understanding type…
Langue du texte source : anglais
How the Zig-backed instance graph works (GraphView/NodeReference/EdgeReference), the real Python API surface, and the invariants around allocation, attributes, and cleanup. Use when working with low-level graph APIs, memory management, or building systems…
Langue du texte source : anglais
How the atopile Language Server works (pygls), how it builds per-document graphs for completion/hover/defs, and the invariants for keeping it fast and crash-proof. Use when this capability is needed.
Langue du texte source : anglais
How the Zig↔Python binding layer works (pyzig), including build-on-import, wrapper generation patterns, ownership rules, and where to add new exported APIs. Use when adding Zig-Python bindings, modifying native extensions, or debugging C-API interactions. Use…
Langue du texte source : anglais
How the Zig S-expression engine and typed KiCad models work, how they are exposed to Python (pyzig_sexp), and the invariants around parsing, formatting, and freeing. Use when working with KiCad file parsing, S-expression generation, or layout sync. Use when…
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
Add a Portal Admin GraphQL mutation under portal/src/graphql/adminapi/mutations. Use when this capability is needed.
Langue du texte source : anglais
Add a new ML model to the TabArena benchmark system. Use this skill whenever the user wants to integrate a new tabular ML model into TabArena — even if they just say "add X model", "integrate X", "support X", or "wrap X for the benchmark". Creates all…
Langue du texte source : anglais
Staff-engineer-level code review delivering 10 prioritized actionable findings across architecture, security, performance, and maintainability Use when this capability is needed.
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
>- Use when this capability is needed.
Langue du texte source : anglais
MUST invoke before creating any git commit. Use when this capability is needed.
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
> Use when this capability is needed.
Langue du texte source : anglais
Delegate large-data tasks to minRLM via `uvx minrlm` CLI. Use when working with large files (logs, CSV, JSON, code repos, documents) that are too big to fit in context, or when asked to search/aggregate/extract from large data. Also use when the user…
Langue du texte source : anglais