「ansi」の検索結果

Generate bifurcation diagrams for dynamical systems. Use when visualizing parameter-dependent behavior transitions.

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。

Tour of Alice's heavily-customized terminal Emacs — Causal transients, Worlding org, proof tooling, MLX chat, voice, and clipboard.

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。

Validates and corrects Python shebangs and PEP 723 inline script metadata by applying four shebang-selection rules. Use when auditing or fixing shebangs in Python files — choosing between plain python3 and the uv shebang for standalone scripts with external dependencies, adding or removing PEP 723 metadata blocks to match actual import requirements, checking execute bit presence, or avoiding redundant transitive dependencies when typer is declared.

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 writing Python scripts that must run on Windows, Linux, and macOS — especially when Rich or Typer output breaks on Windows, when dealing with Unicode/encoding errors, ANSI escape handling, terminal detection, path separators, or console color support. Provides verified cross-platform patterns covering stdout/stderr encoding guards, Windows console quirks, terminal capability detection, and portable I/O for CLI, TUI (Rich/Textual), and GUI environments.

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。

Integrate MCP servers into Claude Code plugins — covers .mcp.json configuration, plugin.json mcpServers field, server types (stdio, SSE, HTTP, WebSocket), environment variable expansion, tool naming conventions, OAuth and token authentication, security best practices, and testing workflows. Use when adding an MCP server to a plugin, configuring MCP authentication, debugging MCP tool discovery, setting up Model Context Protocol integration, or choosing between stdio and SSE transport types.

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。

Rigorous self-assessment checklist before marking any task as complete. Use when about to claim task completion, before final commit, when user asks "is it done?", or when transitioning from implementation to reporting. Prevents premature completion claims by requiring evidence for every assertion.

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。

Reviews CLI application code for correctness and quality. Use when reviewing tools that use argparse, click, typer, commander.js, or similar argument parsers — covers exit codes, help flags, stdin/stdout/stderr separation, non-interactive operation, signal handling, argument validation, ANSI color safety, and dry-run support for destructive operations.

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。

Design, create, update, and verify Vapi Squads and documented handoff tools through the public API. Use for choosing a single assistant versus a multi-assistant Squad, persistent or transient members, entry-member ordering, specialization boundaries, context engineering, variable extraction, model-specific handoff patterns, assistant-version pins, and safe Squad updates.

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Codified expertise for demand forecasting, safety stock optimization, replenishment planning, and promotional lift estimation at multi-location retailers. Informed by demand planners with 15+ years experience managing hundreds of SKUs. Includes forecasting method selection, ABC/XYZ analysis, seasonal transition management, and vendor negotiation frameworks. Use when forecasting demand, setting safety stock, planning replenishment, managing promotions, or optimizing inventory levels.

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。

Detect AI/LLM-generated text patterns in research writing. Use when: (1) Reviewing manuscript drafts before submission, (2) Pre-commit validation of documentation, (3) Quality assurance checks on research artifacts, (4) Ensuring natural academic writing style, (5) Tracking writing authenticity over time. Analyzes grammar perfection, sentence uniformity, paragraph structure, word frequency (AI-typical words like 'delve', 'leverage', 'robust'), punctuation patterns, and transition word overuse.

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。

Transition from static LLM chats to autonomous agents that execute multi-step tasks. Use this when you need to automate cross-platform reports (e.g., Snowflake to Google Docs), build self-service tools for non-technical teams, or create "anticipatory" engineering workflows that draft PRs based on Slack discussions.

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。

Transition from a hands-on "bricklayer" to a high-level "architect" by managing a fleet of autonomous AI agents. Use this when you need to scale engineering output with a small team, handle repetitive migrations/bug fixes, or onboard engineers to complex legacy codebases.

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。

Backward-compat alias for @horizon (this skill was renamed from `pm` to `Horizon` on 2026-07-05). USE THIS only when invoked directly as `/pm` or via an existing `@pm` delegation reference — it redirects immediately to @horizon, the strategic owner of the VNX future-state layer (roadmap -> tracks -> deliverables) and the plan-first gate. Prefer `@horizon` / `vnx horizon` for anything new; this alias exists only for transition safety.

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。

Refine the sentence structure and style of the documents: shorten long sentences, replace cumbersome nominal constructions with verbs, make enumerations parallel, strike filler words and redundancy, fix awkward transitions, and adjust voice, while content, numbers, and technical terms stay exactly as they are. Use when the user wants to "refine", "tighten", or "polish" the wording of a document.

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。

Plan and execute your second and third contributions to become a regular contributor. Covers relationship building, progressive complexity escalation, and community presence. Use when your first PR was merged and you want to keep contributing, when transitioning from one-off contributor to regular, or when planning a sustained OSS involvement. Not for your first contribution — use the oss-find-issue → oss-contribute chain for that.

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Use when asked to map or analyze flows, pipelines, processes, or sequences of events in this repo — e.g. "mapa el flujo", "flow", "pipeline", "ciclo de vida", "trace the request", "how does the build/release flow work", "diagrama del flujo". Maps data flows, request lifecycles, CI/CD pipelines, and state transitions with verified file:line evidence. Distinct from analyze-code (which maps code structure); this skill maps movement over time.

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。

CEO/founder-mode plan review. Rethink the problem, find the 10-star product, challenge premises, expand scope when it creates a better product. Three modes: SCOPE EXPANSION (dream big), HOLD SCOPE (maximum rigor), SCOPE REDUCTION (strip to essentials).

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。

Internal downstream skill for ctf-sandbox-orchestrator. CTF-sandbox workflow for forced-auth coercion, relay chains, target selection, NTLM or related acceptance paths, and coercion-to-privilege transitions. Use when the user asks to trace a coercion primitive, follow a relay path, analyze forced authentication, determine which service accepts relayed auth, or connect a coercion step to resulting privilege, enrollment, or code execution. Use only after `$ctf-sandbox-orchestrator` has already established sandbox assumptions and routed 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。

Expert full-cycle enterprise sales strategist for B2B SaaS. Use when planning sales strategy, pipeline management, deal progression, account planning, competitive displacement, or territory optimization. Covers multi-threading, executive engagement, champion development, buying committee navigation, and complex deal orchestration. Use for enterprise selling, account expansion, land-and-expand, and quota attainment.

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Generates Remotion composition structure focusing ONLY on Sequence ordering, scene transitions, and duration mapping. Input is scene list with durations. Output is COMPOSITION_STRUCTURE.md with Sequence layout and timing calculations. Use when organizing scenes or when asked to "structure composition", "layout scenes", "calculate timing".

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 customer lifecycle marketing guidance for retention, expansion, and advocacy. Use when designing onboarding programs, creating upsell strategies, preventing churn, building referral programs, or writing customer success content. Use for NPS programs, win-back campaigns, customer segmentation, and lifecycle email sequences.

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Edit gameplay clips (Valorant, CS2, Fortnite, any shooter) into a music-synced highlight montage, frag movie, velocity edit or TikTok/Reels/Shorts "edit" with beat sync, slow motion, speed ramps, kill zooms, transitions, lyric words, cover image; also copy the editing of a reference video ("com a mesma edição desse vídeo"), or fix a rendered edit that stutters ("travado", "quedas de fps"), has choppy slow motion or kills off the beat. Portuguese - "edita um vídeo", "faz um montage", "highlight", "edit pro TikTok", "faz uma capa". Not for plain trimming, joining or converting clips (use ffmpeg).

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。

Orchestrates the AI-Controlled Party mixer/Soundcraft Ui24R design team. Use whenever the user wants to design, update, refine, re-run, or implement-plan the Soundcraft Ui24R scene-arming expansion, mixer-aware AI party, operator-approved mixer cues, snapshots/cues/show control, Companion bridge, or any follow-up based on prior mixer design results. Produces a spec for tdmcp-pipeline; does not implement runtime code.

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。

Template skill for a leadership-transition / executive cockpit — when someone steps into or covers a leadership role and needs to not drop anything. Produces a handoff doc + decision-rights map, an "open loops" tracker, a team-comms cadence, and a recurring report/update drafter. Trigger on "/exec-cockpit", "handoff doc", "decision-rights map", "open loops tracker", "cover for <role>", "interim <role>". Customize the placeholders to your situation.

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。