Coordinates fundraising execution with PPM preparation, DDQ completion, legal documentation, and closing mechanics. Use when managing fund launches, coordinating formation processes, or tracking fundraising milestones.
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概要と使いどころ
Coordinates fundraising execution with PPM preparation, DDQ completion, legal documentation, and closing mechanics. Use when managing fund launches, coordinating formation processes, or tracking fundraising milestones.
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 structured product performance with collateral deterioration triggers, coverage test tracking, and credit migration analysis. Use when conducting ABS surveillance, monitoring CLO performance, or tracking structured product credit.
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 ISDA Master Agreement provisions with close-out netting, termination events, and credit support annexes. Use when reviewing ISDA terms, analyzing CSA provisions, or assessing documentation risk.
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 cross-border transaction complexities including tax treaties, currency, regulatory approvals, and cultural factors. Use when structuring international deals, assessing cross-border risk, or navigating multi-jurisdiction closings.
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 ingesting text samples to extract quantitative writing style metrics. Produces a structured JSON style profile with vocabulary patterns, sentence structure, tone markers, and formatting preferences. Invoke before voice-clone-generator to establish style constraints.
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。
Hunt full Account Takeover (ATO) by chaining lower-severity findings — IDOR-to-email-disclosure, password-reset-token-theft, OAuth-redirect-uri abuse, response-manipulation, cookie scope, CRLF in Set-Cookie, race-condition on signup. Use when the user wants to escalate small findings to ATO or thinks an ATO path exists.
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。
Hunt Server-Side Request Forgery (SSRF) — internal network access, cloud metadata exploitation, gopher/file/dict protocol abuse, and 11 IP-filter bypass techniques. Use when an endpoint accepts a URL, hostname, or file path as input.
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。
Hunt GraphQL-specific vulns — introspection abuse, field-level authorization (IDOR), batched queries for brute force, alias-based rate limit bypass, deep query DoS, mutation injection, schema disclosure, suggestion leakage, CSRF via GET, and CSRF via POST without preflight. Use when a GraphQL endpoint is present.
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。
Retire a closed issue's working artifacts out of specs/ into the GitHub wiki. Use only when the user asks to archive a finished issue, empty out specs/ for a done task, or move an issue's requirements/architecture/tasks/review/QA docs to the wiki.
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。
After an issue's PR has squash-merged on GitHub and its issue has closed: fast-forward the default branch, remove the issue-numbered nested worktree (.worktrees/<issue#>), and delete the local feature branch. Use when the user says to finish, tear down, or clean up a lane or worktree for a merged issue.
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。
Find the most valuable commercial insight and the monetization point closest to lawful revenue for a project, product, service, website, community, content account, open-source tool, or business idea. Use when a user asks how to monetize, who pays, why people do not buy, what to charge, whether to keep building, what to stop, what to do next, or asks to continue or deepen an earlier business analysis. Answer the user's actual question before asking for more information and carry the analysis forward without repeating it. When the buyer, purchased result, or delivery ability is unknown, do not select them from industry stereotypes; use explicit conditional candidates and an evidence-gathering next step. Not for investment advice, income forecasts, get-rich-quick schemes, or guaranteed results.
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。
Declare variables in smallest possible scope, initialize close to first use, minimize span and live 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。
RED-GREEN-REFACTOR for process documentation - baseline without skill, write addressing failures, iterate closing loopholes
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。
Fork, clone to ~/.clank, run installer, edit CLAUDE.md
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。
Work with the @upstash/box SDK for sandboxed cloud containers with AI agents, shell, filesystem, and git. Use when building with Upstash Box, creating sandboxed environments, running AI agents in containers, or orchestrating parallel boxes.
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 and query fully local RAG knowledge bases from documents (PDF, MD, code, etc.) using RLAMA and Ollama — no cloud, no data leaving the machine. Triggers on 'local knowledge base', 'search documents', 'document Q&A', 'RAG query', 'ingest files', 'semantic search'.
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 interactive live slide decks with Vite + React 19, TanStack Router, WebGPU shaders, Framer Motion orchestration, 1920x1080, access-gated SPA. 39 components (layout, interaction, graphics, chrome, navigation), direction-aware slide transitions, presenter mode with speaker notes and BroadcastChannel sync, Playwright PNG/PDF export, YAML-driven authoring, Cloudflare/Vercel/Netlify deploy. Triggers on: slide deck, presentation, pitch deck, investor deck, product demo, conference talk, live slides, WebGPU slides, interactive presentation, presenter mode, speaker notes, overwatch deck.
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。
Create, audit, and maintain CLAUDE.md documentation files that configure Claude Code for projects. Use this skill when (1) initializing a new project with Claude Code configuration, (2) reviewing or improving existing CLAUDE.md files, (3) organizing project instructions using progressive disclosure patterns, (4) converting repeated instructions into permanent documentation, or (5) setting up agent_docs/ structures for larger codebases. Handles the WHAT/WHY/HOW framework, conciseness optimization, and file import patterns.
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。
Deploy, diff, bootstrap, inspect, roll back, or destroy AWS CDK applications with the community CDKD CLI while preserving safe production and state-management boundaries. Use when the user mentions cdkd or CDK Direct, asks for faster CDK deployments in development or test environments, or wants to evaluate whether an existing CDK app can use CDKD. Also use for CDKD import, export, state, events, and deployment troubleshooting. Prefer the upstream AWS CDK CLI for production and for existing CloudFormation-managed stacks unless the user explicitly approves a management 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。
Validate proposed or existing backlinks for relevance, editorial legitimacy, link attributes, spam/toxicity risk, platform compliance, anchor quality, target-page fit, and monitoring evidence. Use this skill when the user asks whether an external link opportunity or placed backlink is safe and useful, and reject toxic, irrelevant, paid-undisclosed, fake, or spam placements.
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。
Access a collection of open-source molecular design and structural biology tools on the Tamarind Bio platform, via its REST API or MCP server — no local GPUs required. Tamarind bundles popular open-source models for structure prediction (AlphaFold, Boltz, Chai, ESMFold), protein, binder, and de novo design (RFdiffusion, ProteinMPNN, BoltzGen), antibody and nanobody design and developability, protein-ligand docking (DiffDock, Autodock Vina), binding-affinity prediction, MSA generation, and molecular dynamics. Use when the user mentions Tamarind or tamarind.bio, wants to run any of these open-source tools in the cloud, references app.tamarind.bio/api or the x-api-key header, or needs to submit batches of sequences for structural or biophysical characterization.
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。
Rowan is a cloud-native molecular modeling and medicinal-chemistry workflow platform with a Python API. Use for pKa and macropKa prediction, conformer and tautomer ensembles, docking and analogue docking, protein-ligand cofolding, MSA generation, molecular dynamics, permeability, descriptor workflows, and related small-molecule or protein modeling tasks. Ideal for programmatic batch screening, multi-step chemistry pipelines, and workflows that would otherwise require maintaining local HPC/GPU infrastructure.
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。
Find out whether a chemical series is already claimed, using SureChEMBL's patent-extracted compound corpus and, where a key is available, PatentsView for legal status and assignee history. Use this skill to trace a structure to the patent documents that disclose it, survey an assignee's filings around a target, and understand what the freedom-to-operate question requires that a structure search cannot answer. Also trigger on SureChEMBL, patent chemistry, Markush structure, freedom to operate, composition of matter, assignee, priority date, patent family, or PatentsView.
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。
Estimate how likely a protein therapeutic is to provoke an anti-drug antibody response, and locate the sequence regions responsible. Use this skill to tile a sequence into peptides, predict class II MHC presentation across a population-representative allele panel, aggregate predicted binders into a per-region and whole-molecule risk score, compare a candidate against its closest human germline, and decide which liabilities are worth deimmunising. Also trigger on immunogenicity, anti-drug antibody, ADA, T-cell epitope, MHC class II, HLA-DRB1, NetMHCIIpan, NetMHCpan, deimmunisation, tregitope, or population coverage.
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。