description: Track multiple live deals with milestones, deadlines, action items, and status updates. Maintains a deal pipeline view and surfaces upcoming deadlines and overdue items. Use when managing
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →description: Track multiple live deals with milestones, deadlines, action items, and status updates. Maintains a deal pipeline view and surfaces upcoming deadlines and overdue items. Use when managing
description: Build quick IRR/MOIC sensitivity tables for PE deal evaluation. Models returns across entry multiple, leverage, exit multiple, growth, and hold period scenarios. Use when sizing up a deal
fsi-strip-profile
Generate a polished one-page PowerPoint slide summarizing key takeaways from recent funding rounds and notable capital markets activity across a user's watched sectors or companies. Use this skill when the user asks for a deal flow summary, weekly recap, funding digest, transaction roundup, or capital markets briefing. Triggers on: 'deal flow digest', 'weekly funding recap', 'deal roundup', 'transaction summary this week', 'what happened in [sector] this week', 'capital markets update', or any request to compile recent funding activity into a briefing slide. Produces a professional single-slide PPTX with key takeaways, valuation data, and Capital IQ deal links.
Generate a concise 4-5 page equity research earnings preview for a single company. Analyzes the most recent earnings transcript, competitor landscape, valuation, and recent news to produce a professional HTML report.
description: Systematic stock screening and investment idea sourcing. Combines quantitative screens, thematic research, and pattern recognition to surface new long and short ideas. Use when looking fo
description: Draft process letters and bid instructions for sell-side M&A processes. Covers initial indication of interest (IOI) instructions, final bid procedures, and management meeting logistics. T
description: Build and maintain a calendar of upcoming catalysts across a coverage universe — earnings dates, conferences, product launches, regulatory decisions, and macro events. Helps prioritize at
description: Identify tax-loss harvesting opportunities across taxable accounts. Finds positions with unrealized losses, suggests replacement securities, and tracks wash sale windows. Triggers on "tax
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Perform comprehensive QC on the presentation across four dimensions. Read every slide, then report findings.
REST API server and MCP protocol integration
Chunking, embeddings, and RAG pipeline integration
Document extraction pipeline architecture and patterns
Format-specific document extraction workflows
Plugin architecture, registration, and trait patterns
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A skill to calculate grocery prices with country-specific taxes.
A skill to check weather in different countries.
Manage your NewsBlur from the terminal. Read feeds, search stories, save and share articles, train intelligence classifiers, discover new feeds, and automate workflows with the NewsBlur CLI. Use when the user wants to interact with their NewsBlur account, check feeds, manage subscriptions, or build scripts around their news reading.
Lookup paper: $ARGUMENTS
Search topic or arXiv paper ID: $ARGUMENTS
Search query: $ARGUMENTS
Monitor: $ARGUMENTS
Prepare and maintain a grounded, venue-compliant rebuttal for: **$ARGUMENTS**
Get a multi-round critical review of research work from an external LLM with maximum reasoning depth.
Use when experiments complete to judge what claims the results support, what they don't, and what evidence is still missing. Codex MCP evaluates results against intended claims and routes to next action (pivot, supplement, or confirm). Use after experiments finish — before writing the paper or running ablations.
Search topic or paper ID: $ARGUMENTS
Task: $ARGUMENTS
> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`.
> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`.
> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`.
> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`.
> Override for Codex users who want **Gemini**, not a second Codex agent, to act as the reviewer. Install this package **after** `skills/skills-codex/*`.
Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached.
Autonomously iterate: review → implement fixes → re-review, until the external reviewer gives a positive assessment or MAX_ROUNDS is reached.
Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.
Turn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.
Generate publishable research ideas for: $ARGUMENTS
Orchestrate a robotics-specific idea discovery workflow for: **$ARGUMENTS**
Orchestrate a complete idea discovery workflow for: **$ARGUMENTS**
Generate a structured, section-by-section paper outline from: **$ARGUMENTS**
Orchestrate a complete paper writing workflow for: **$ARGUMENTS**
Research topic: $ARGUMENTS
End-to-end autonomous research workflow for: **$ARGUMENTS**
Refine and concretize: **$ARGUMENTS**
Refine and concretize: **$ARGUMENTS**
Commit staged/unstaged changes and push to the remote branch in one step
Orchestrates end-to-end autonomous AI research projects using a two-loop architecture. The inner loop runs rapid experiment iterations with clear optimization targets. The outer loop synthesizes results, identifies patterns, and steers research direction. Routes to domain-specific skills for execution, supports continuous agent operation via Claude Code /loop and OpenClaw heartbeat, and produces research presentations and papers. Use when starting a research project, running autonomous experiments, or managing a multi-hypothesis research effort.
State-space model with O(n) complexity vs Transformers' O(n²). 5× faster inference, million-token sequences, no KV cache. Selective SSM with hardware-aware design. Mamba-1 (d_state=16) and Mamba-2 (d_state=128, multi-head). Models 130M-2.8B on HuggingFace.