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概要と使いどころ
How to migrate the tdmcp Claude Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-mcpb.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.
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。
Wire builders' isolated tdmcp tool files into the shared registries, CLI, and docs as a single writer, conflict-safe, and confirm a green typecheck + build. Use when integrating/wiring/registering new tdmcp tools, adding their CLI commands, resolving build breaks after parallel feature work, or merging several builders' files into the registry without conflicts.
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。
How to migrate the tdmcp Codex Desktop bundle from legacy .dxt to .mcpb (MCP Bundle) and keep it building — covers the manifest schema (verify against the installed packer, never hardcode), the build-mcpb.mjs packer/zip-fallback flow, the npm scripts, and the full .dxt→.mcpb reference sweep across docs and scripts. Use when packaging or migrating the tdmcp desktop bundle.
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。
OS post-exploitation after a stable host foothold: quiet host recon, host-native persistence (Windows Run/tasks/services/COM/WMI and Linux SSH/cron/systemd/SUID), long-term C2 (Sliver primary, Mythic/Havoc optional), targeted collection and exfil, and engagement cleanup. Does not own AD/cloud/K8s native persistence, Ligolo pivoting, LSASS dumping, or EDR bypass. Operator selects objectives; success is a live callback, verified persistence, delivered loot, or restored host — not generating an unused implant.
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。
Universal operating skill: bind the public task, act from evidence, preserve boundaries, and verify the delivered result.
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。
Produces a rigorous, forward-looking technical audit with severity ratings and improvement directions.
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。
Interactive code simulation engine that spawns ghost personas to review your code before it ships. Each ghost walks through your code line-by-line from a different failure perspective: The Adversary (race conditions, double-submit, idempotency), The Enterprise Edge (business logic gaps, multi-currency, B2B tax exemptions, locale), Chaos Monkey (timeouts, partial failures, network partitions, OOM). Produces a chaos timeline, structured bug report with severity ratings, and three resolution tiers (quick fix, robust architecture, generated test suite). Use this skill whenever the user mentions code review, PR review, "find bugs", "what could go wrong", "will this break", "is this safe", "stress test", "edge cases", design review, pre-merge check, dry run, chaos test, or wants a second opinion on any code — even if they don't explicitly ask for "ghost personas" or "simulation". Also trigger when someone pastes a code snippet with any question about its correctness or 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。
Author and modify documentation for projects that use Gehtsoft's docgen utility. Use this skill whenever the user mentions docgen, .ds files, the doc/ directory of a repository, project.xml or project.proj for documentation, or wants to write/edit/build/debug API documentation in any codebase that uses docgen. Also use it whenever the user asks about generating C#, C++, or Java API documentation that follows Gehtsoft conventions, even if they don't say "docgen" explicitly.
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 MCAF ML/AI delivery guidance for data exploration, feasibility, experimentation, testing, responsible AI, and operating ML systems. Use when the repo includes model training, inference, data science workflows, or ML-specific delivery planning.
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。
Lists all Stitch projects accessible to the user. Use this to find an existing project ID before resuming work or generating new screens in an existing project.
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。
Retrieves metadata for a specific Stitch project — title, theme, create/update time. Use to inspect a project before generating new screens. Do NOT use this if you already have a screenId — use stitch-mcp-get-screen instead.
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。
Edits existing Stitch screens with text prompts — the iteration tool. Change colors, layout, content, or style without regenerating from scratch. Supports refinement loops via output_components suggestions.
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。
Provides Mermaid diagram syntax, best practices, and styling rules for technical visualizations. Use when creating diagrams, flowcharts, sequence diagrams, class diagrams, state diagrams, ER diagrams, architecture diagrams, C4 diagrams, visualizations, or any visual documentation in markdown. Always use this skill when generating or updating Mermaid code blocks.
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。
Builds pricing models incorporating J-curve positioning with blind pool risk, early-vintage assessment, and age-weighted adjustments. Use when pricing early-vintage funds, analyzing J-curve risk, or adjusting for fund maturity.
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。
Calculates required credit enhancement levels with loss modeling, attachment/detachment points, and rating agency methodology. Use when sizing credit enhancement, modeling loss scenarios, or determining tranche subordination.
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。
Monitors credit portfolio health with rating migration tracking, watchlist management, and early warning indicator analysis. Use when conducting portfolio surveillance, managing credit watchlists, or tracking credit migration.
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。
Assesses post-emergence equity with clean balance sheet analysis, improved capital structure, and re-rating potential. Use when evaluating post-reorg equity, analyzing emergence opportunities, or assessing restructured company value.
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。
Constructs ROIC decomposition with invested capital measurement, operating return analysis, and value creation vs destruction assessment. Use when analyzing ROIC, building capital return frameworks, or assessing value creation.
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。
Deconstructs SaaS operating metrics including ARR, NRR, gross retention, magic number, rule of 40, and cohort economics. Use when analyzing SaaS businesses, benchmarking software metrics, or evaluating subscription model health.
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。
Constructs LBO models with sources/uses, debt schedules, operating projections, and returns analysis across entry/exit scenarios. Use when modeling leveraged buyouts, calculating sponsor returns, or analyzing leverage capacity.
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。
Structures 100-day and long-term value creation plans with revenue growth, margin improvement, and capital efficiency initiatives. Use when building value creation plans, tracking improvement initiatives, or preparing operating partner reviews.
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。
Evaluates transportation assets with ridership analysis, fare structure assessment, and operating efficiency benchmarking. Use when analyzing transportation projects, evaluating mass transit, or assessing toll road economics.
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。
Evaluates implied volatility surfaces with skew analysis, term structure dynamics, and surface fitting methodologies. Use when analyzing vol surfaces, assessing skew dynamics, or calibrating volatility models.
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。
Evaluates alternative data sources including satellite, NLP sentiment, web scraping, and geolocation for alpha signal generation. Use when analyzing alt data, evaluating new data sources, or integrating non-traditional signals.
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。