Aegis Intel Stack: pre/post execution micro-skills + manifest/delta re-buy triggers
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。
488 件 ・ 関連度順
概要と使いどころ
Aegis Intel Stack: pre/post execution micro-skills + manifest/delta re-buy triggers
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。
Adspirer — AI-powered advertising and performance marketing agent. Manage Google Ads, Meta Ads (Facebook & Instagram), LinkedIn Ads, and TikTok Ads via natural language. 100+ tools for paid media campaign creation, live performance analysis, PPC keyword research with real CPC data, budget optimization, ad creative management, and cross-platform reporting. Create Search, PMax, display, image, video, and carousel campaigns. Analyze wasted ad spend, research keywords, optimize bids and ROAS, automate monitoring, and track CPA across channels. Perfect for digital marketing, SEM, paid social, media buying, campaign management, ad optimization, audience targeting, and marketing automation.
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。
One-shot GEO visibility check for a brand using Xpoz. Runs the buyer questions that matter through Claude, ChatGPT, and Gemini, and reports where the brand appears, who wins instead, and which surfaces the answers are assembled from. Use when asked to "check my AI visibility", "does ChatGPT recommend us", "GEO audit", "where do we show up in AI answers", or "who wins our category in AI answers".
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。
Map the most influential Reddit venues for a brand's AI visibility using Xpoz. Finds which subreddits and threads AI engines actually cite when answering buyer questions, where those questions get asked, and which live threads are worth answering. Use when asked to "get cited by AI through Reddit", "which subreddits matter for my brand", "Reddit influence map", "where should we engage on Reddit", or "why does ChatGPT cite Reddit for my category".
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。
Drafts a U.S. Bill of Sale for transferring personal property ownership from seller to buyer. Covers vehicles, equipment, watercraft, firearms, business assets, and general personal property. Enforces party identification, property description, consideration, condition representations, title warranty, lien disclosure, and jurisdiction-specific execution requirements. Use when drafting a bill of sale, asset transfer document, or ownership transfer instrument.
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。
Drafts a Bill of Sale, Assignment and Assumption Agreement for M&A asset purchase closings. Transfers purchased assets (tangible and intangible) from seller to buyer and memorializes assumption of specified liabilities. Use when drafting closing deliverables for asset purchase transactions, including IP assignments, contract rights transfers, and goodwill conveyances.
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。
Drafts a state-court complaint for breach of a real property purchase agreement. Triggers when the user needs to initiate a lawsuit for breach of a real estate purchase contract, purchase agreement breach, or buyer/seller contract dispute. Covers caption, jurisdiction/venue, party allegations, chronological facts, contract elements, damages, and prayer for relief.
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。
Drafts an Assignment and Assumption of Leases transferring tenant leases from seller (Assignor) to buyer (Assignee) as a closing document to a commercial property PSA. Trigger when closing a commercial property sale with existing tenant leases or when a user needs lease assignment/assumption language for a real estate transaction.
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 for tradeoff analysis, or when the user must pick between concrete options: "A or B?", "which library should we use?", "build vs buy", "compare these approaches". Scores options on weighted criteria, tests sensitivity and reversibility. Skip for open ideation or single-option 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。
Analyze NFT projects for investment decisions — evaluate fundamentals, identify red flags, assess risk, and provide buy/hold/avoid recommendations
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 Clay platform consultant for B2B data enrichment and workflow automation. Use when the user asks about Clay tables, waterfall enrichment, Clay credits, Clay AI columns, Claygent, enrichment workflows, Clay integrations, Clay exports, Clay table design, lead scoring in Clay, or building data pipelines in Clay. Also triggers on "Clay table", "enrichment waterfall", "Clay credits", "Claygent", "Clay AI column", "Clay export", "Clay providers", "enrich in Clay", "Clay column", "Clay formulas", "find emails", "email waterfall", "phone waterfall", "lead scoring", "Clay debugging", "Clay troubleshoot". Do NOT use for general CRM questions without Clay context, cold email copy (use cold-email-copy-playbook), or signal routing (use buying-window-signal-workflow).
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。
Evaluate any address for home buyers and renters.
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 reviewing a contract clause-by-clause from your party's side — buyer/seller/vendor/licensee. Triggers on 'review this contract', 'redline this MSA', 'is this clause a problem'.
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。
Classifies professional profiles into buyer, influencer, user, decision-maker, founder, recruiter, or other personas. Use when the user provides profiles and wants persona labels with evidence and confidence. Must not infer sensitive personal attributes.
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 after PROJECT_GUIDE.md exists, when the user asks if a project is worth their time, should they build vs buy, or invokes project-worth-my-time. Follow-up to explain-new-project—weighs project context (files, git history, chat) to recommend whether to invest in a repo, cherry-pick a feature, park the idea, pass, or use an existing polished product instead. Optionally enriched by a personal-memory MCP (e.g. Pieces) when one is available.
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 and buy a domain for the current Convex app through Convex, then bind it (labs; spend action).
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 extend the core Pump SDK — an offline-first TypeScript SDK that constructs Solana TransactionInstructions for token creation, buying, selling, migration, and creator fee collection across three on-chain programs (Pump, PumpAMM, PumpFees).
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。
Constant-product AMM bonding curve math for Pump token pricing — buy/sell quoting, fee-aware calculations, market cap computation, tiered fees, ceiling division, virtual vs real reserves, and edge-case handling.
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。
Load when the user asks for CTO advice on feature strategy, architecture direction, build-vs-buy, infrastructure, market positioning, roadmap, self-hosting, cost, or organizational tradeoffs; not for reviewing an existing implementation-plan workstream.
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。
Knowledge base from the SD-22 DMSMS Guidebook (DSPO, FY24 working draft). Use for managing Diminished Manufacturing Sources and Material Shortages (DMSMS) and obsolescence across a long-lived system's life cycle: the five-step process (Prepare, Identify, Assess, Analyze, Implement) plus the Strategize overlay; standing up a DMSMS Management Team (DMT) and Management Plan (DMP); risk-based monitoring and surveillance (the risk cube, predictive tools, vendor surveys, GIDEP/DLA PDNs, critical-materials analysis); health assessments and resolution timing; costing and selecting resolutions (life-of-need buys, substitutes, redesign, technology refreshment) by AoA/BCA; and budgeting/executing resolutions through modification funding and the ECP process. Defense-sustainment / DoD-acquisition framing throughout. Does NOT teach general systems engineering, parts-management standards, or contracting law in depth, and does not reproduce DoD policy text or the source's tables and figures.
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。
Knowledge base from the NASA Cost Estimating Handbook (CEH) v4.0. Use for NASA's 12-step, three-part cost estimating process (Project Definition, Cost Methodology, Cost Estimate); the WBS, CADRe, and ONCE data backbone; estimating methodologies (analogy, parametric/CER, engineering build-up, EVM, Delphi); ground rules and assumptions, data normalization and inflation (BY/CY/RY); the point-estimate-to-S-curve cost-risk chain and Unallocated Future Expense (UFE) reserves; Joint Cost and Schedule Confidence Level (JCL) analysis via probabilistic cost-loaded schedules; decision-support analyses (sensitivity, trade studies, make/lease-vs-buy, affordability, CAIV); and economic analysis (discounting, NPV, OMB Circular A-94). The cost-estimating complement to NASA's SE and risk packs. Does NOT reproduce the handbook's tool-specific procedures, worked examples, or appendix-depth methods (it names the appendices), nor cover full DoD/GAO cost guides, schedule construction, or formal risk management beyond the cost interface.
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 a proposal, business case, deck or plan in character as a Chief Technology Officer archetype and returns a DRAFT review in the chat with a verdict, findings cited to the exact passage, technology risks (architecture, build versus buy, vendor lock-in, security of design, engineering capacity), what would change the verdict and five interrogation questions. Use when the user asks to "run a CTO review", "pressure-test the technical side of this plan", "what would a CTO ask about this" or "rehearse the technology seat before the review". Do not use for cash, payback or budget questions, use cfo-reviewer instead; for capacity and timeline questions, use coo-reviewer; for security controls, privacy or compliance, use ciso-reviewer. Drafts for human review; never approves, authorises or signs off.
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 WordPress draft posts from research findings — converts Paper Store research records or raw research data into publishable blog posts, buying guides, brand spotlights, and how-to articles. Use when the task asks to "turn research into a post", "create a blog post from findings", "publish my research", "research to content", or "write up the findings". Covers the full research-to-post pipeline with Paper Store integration.
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 the user asks to "monitor brand mentions", "set up social listening", "did anything spike about us this week", or "watch these accounts for buying triggers"; runs always-on keyless listening — a versioned listening-query architecture (brand variants incl. misspellings and 中文 names, exclusion terms, per-source syntax for HN Algolia / Bluesky / GDELT / Tavily), a mention sweep with six-class triage (crisis / bug / lead / praise / question / spam) each routed with an SLA, a 7-day rolling baseline with spike flags (the crisis trigger input), a B2B trigger watchlist (funding / hiring / launch signals), and an explicit coverage disclosure where X/IG/TikTok/LinkedIn/小红书 numbers are proxy-labeled, never Measured. Not for launch-window telemetry (T-0→T+30 rank and review polling) — use launch-monitor. 舆情监听/品牌提及监测/基线突刺/触发信号
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。