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Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .xltx, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

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Design Gmail, Drive, Sheets, and Calendar automations with scope-aware plans. Use for repeatable daily task automation with explicit OAuth scopes and audit-ready outputs.

日本語の概要は準備中です。原文の説明を表示しています。

Build transformer fine-tuning run plans with task settings, hyperparameters, and model-card outputs. Use for repeatable Hugging Face or PyTorch finetuning workflows.

日本語の概要は準備中です。原文の説明を表示しています。

Use when [trigger symptoms, user intents, task contexts]. Include Chinese trigger phrases when useful. Do not summarize workflow here.

日本語の概要は準備中です。原文の説明を表示しています。

Draft or refine IDD-ready GitHub issues, roadmap issues, and sub-issues before the normal IDD execution loop begins. Use when a request is too large or ambiguous for one reviewable change, when work needs decomposition or dependency encoding, or when the user asks for issue drafting, roadmap planning, or parallelizable task breakdown.

日本語の概要は準備中です。原文の説明を表示しています。

GStack freeze method for pausing writes and limiting work to evidence gathering when a task is unsafe, ambiguous, or production-sensitive.

日本語の概要は準備中です。原文の説明を表示しています。

GStack unfreeze method for safely resuming a previously frozen task with explicit resume criteria, allowed changes, and verification gates.

日本語の概要は準備中です。原文の説明を表示しています。

Explicit compatibility adapter for repairing existing v1 Codex pets with 8x9 atlases. Not for new pets or v2/8x11 packaging; use the installed v2-capable pet skill for those tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Handles npm registry and account tasks: npm whoami, package availability, reserving names, publishing, org checks, and auth debugging, with 1Password and tmux for credentials. Use when publishing to npm or diagnosing npm login problems.

日本語の概要は準備中です。原文の説明を表示しています。

Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.

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Automates the user's existing signed-in Chrome profile through Chrome DevTools MCP (via mcporter): inspecting pages, screenshots, forms, clicks, and running JavaScript, without AppleScript. Use when a task needs a real logged-in browser tab rather than a fresh headless one.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine. Use when someone shares a screen recording of a repetitive task they want automated.

日本語の概要は準備中です。原文の説明を表示しています。

Postgres best practices maintained by Supabase, for Postgres running anywhere. Load this skill BEFORE writing or changing anything that lives in a Postgres database: creating or altering tables and columns (including choosing column types), schema design, migrations and declarative schema files, RLS policies and the tests that verify them, indexes, triggers, database functions, queues and scheduled jobs (pg_cron, pgmq), vector/semantic search (pgvector), and restoring dumps (pg_restore) or importing data. Also load it when diagnosing slow queries, high CPU, timeouts, EXPLAIN plans, connection exhaustion, locking, bloat, or rows visible to the wrong user or tenant. This is not just a performance guide — schema, migration, security, and SQL authoring tasks need these rules too, even for a one-column change or a single query.

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Writes and reviews Snowflake-specific SQL: QUALIFY, FLATTEN, VARIANT/OBJECT/ARRAY handling, streams, tasks, stages, and warehouse-aware patterns. Use when generic SQL is not enough on Snowflake — semi-structured data, incremental pipelines, or Snowflake DDL.

日本語の概要は準備中です。原文の説明を表示しています。

Use when unsure which engineering-workflow skill applies to the task at hand. Routes from development phase — idea, spec, plan, implement, test, review, ship — to the right skill, and shows how they chain together across a feature or bugfix.

日本語の概要は準備中です。原文の説明を表示しています。

Maps the files relevant to a task before any edit: files to modify, dependencies that may need updates, test files, reference patterns to follow, and risks such as API, migration, or config changes. Use at the start of a non-trivial change in an unfamiliar codebase.

日本語の概要は準備中です。原文の説明を表示しています。

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

日本語の概要は準備中です。原文の説明を表示しています。

Use before writing code on anything non-trivial: a new project or feature, ambiguous or incomplete requirements, a change spanning multiple modules, an architectural decision, or work over ~30 minutes. Runs a gated Specify → Plan → Tasks → Implement workflow with human review at each phase. Skip for single-line fixes.

日本語の概要は準備中です。原文の説明を表示しています。

Delivers changes incrementally. Use when implementing any feature or change that touches more than one file. Use when you're about to write a large amount of code at once, or when a task feels too big to land in one step.

日本語の概要は準備中です。原文の説明を表示しています。

Use when completing tasks, implementing major features, or before merging to verify work meets requirements

日本語の概要は準備中です。原文の説明を表示しています。

Use when improving, evolving, benchmarking, or maintaining agent skills over time. Treats skills as long-lived structured artifacts: execute tasks, diagnose trajectory evidence, accumulate textual momentum, patch at the correct abstraction layer, test per model and harness, canary changes, and roll back regressions.

日本語の概要は準備中です。原文の説明を表示しています。

Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.

日本語の概要は準備中です。原文の説明を表示しています。

Use when turning expert materials, execution traces, repository evidence, or long-form documents into an inspectable, correctable, and empirically verified agent skill. Covers source governance, capability-vs-behavior separation, contrastive induction from successes and failures, intervention testing, versioning, rollback, and task-conditioned vs. reusable-library evaluation.

日本語の概要は準備中です。原文の説明を表示しています。

Use when evaluating MCP-enabled agents, tool-using LLM systems, multi-server workflows, tool-selection quality, trajectory quality, task completion, or MCP security regressions.

日本語の概要は準備中です。原文の説明を表示しています。