Borrow from Aave V3 via credit delegation. Agent draws against delegator collateral. Supports borrow, repay, health checks.
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。
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概要と使いどころ
Borrow from Aave V3 via credit delegation. Agent draws against delegator collateral. Supports borrow, repay, health checks.
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。
Review the retained annotation candidate queue and curate per-coin editorial history. Use weekly during active event periods, monthly otherwise, or on queue-health warnings; this does not restore the retired live chart overlay.
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Canonical entry point for the full Gaia evidence verification pipeline. Invoke as /evidence-verification-pipeline or /ev-pipeline — both names trigger this skill. Use whenever you need to run the evidence phases end-to-end: collecting raw evidence from the data lake, verifying live GitHub star counts, running Phase 2B benchmark-source verification, running adversarial auditing for noise and URL errors, and checking link health via Firecrawl. Also use when someone says "run the evidence pipeline", "verify the evidence lake", "audit evidence", "run ev-pipeline", "full evidence check", "pipeline run", "prepare evidence for ingestion", or "refresh the data lake". This is the pre-ingestion step — run it before importing any evidence into the registry.
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Generate a prioritized review queue of registry skills and catalog items that need attention. Use this skill whenever someone asks: "what needs review?", "what's overdue for audit?", "where are the weak spots in the registry?", "what should I audit next?", "run a health check on the registry", "show me flagged skills", "find problems in the registry", "what skills need fixing?", or "triage the registry". This is the triage layer — it surfaces candidates ranked P0–P4 so that focused work (via /gaia-audit) targets the right things first. Run this before any audit pass. Also invoke proactively when a PR changes registry/named/ at scale, or before a release, to catch regressions early.
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。
Phase 4 of the Gaia evidence verification pipeline. Checks every URL in the evidence data lake for HTTP liveness — catches dead links (404, 403, timeout, connection errors) before evidence is ingested into the registry. Use this skill when running the full /ev-pipeline, asked to "validate links", "check evidence URLs", "run link validation", "find dead links in the data lake", "check HTTP status of evidence sources", or "verify evidence links still work". Wraps validate_sources.py as a temporary coexistence URL-health shim.
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。
Health-check a persistent markdown wiki. Use this when the user wants to find orphan notes, dangling links, missing pages, graph gaps, contradictions to review, or general wiki maintenance opportunities.
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。
The investigation harness for "why is this slow?" over a Pulp Perfetto trace (.pftrace). Runs the hypothesis→query→drill-down chain-of-evidence loop autonomously and returns a plain-English root cause + evidence + a concrete fix. TRIGGER on "why is my plugin slow to open", "find the slowest frames", "why is the UI stuttering", "why is my plugin using so much CPU", "which DSP node is expensive", "the load meter looks calm but CPU is pinned", or a named `pulp trace gpu-startup|gpu-health|gpu-probe` analysis. Ships Pulp-specific hints for dsp, frame, js, gpu, and cross-platform symptoms.
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。
SQL discipline for querying Pulp Perfetto traces (.pftrace) with trace_processor — idempotent CREATE OR REPLACE PERFETTO views, GLOB not LIKE, dur = -1 incomplete-slice handling, EXTRACT_ARG for span args, joining on stable utid/upid, SPAN_JOIN PARTITIONED, and the draft→validate→execute loop. Ships Pulp's CPU/UI trace stdlib plus closed GPU startup, health, and probe views. TRIGGER when writing or debugging SQL over a .pftrace, when `pulp trace query` returns wrong/empty rows, or when the trace-analysis skill needs a query primitive.
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Create a complete feature module with folder structure, Assembly Definition (.asmdef), test assembly, and namespace. Use when adding a new feature, system, or module to a Unity project. Triggers on requests like "create a new feature", "scaffold a module", "add a combat system", "I need a health system", "set up inventory", "create a new module for X", "add a new system", "new feature folder", or any task requiring new folders, assemblies, or namespaces for a gameplay feature — even when the user just names a system they want to build from scratch. Reads ProjectConfig.yaml for folder_strategy and MCP availability.
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。
Generates networking boilerplate adapted to the project's chosen networking package (NGO, Mirror, Photon). Use when setting up multiplayer systems, syncing state, writing RPCs, building lobbies, or designing an authority matrix. Triggers on requests like "add multiplayer", "sync player health", "create an RPC", "set up lobbies", "make this networked", "add co-op", "replicate this across clients", "spawn networked objects", "handle player disconnect", "create a matchmaking system", or any task involving network state synchronization, remote procedure calls, or client-server architecture. Always reads ProjectConfig.yaml -> networking before generating code. If networking is "none", do NOT generate networking 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。
Generate Unity 6+ UI Toolkit Runtime Data Binding code using MVVM pattern with [CreateProperty], DataBinding, and PropertyPath. Use when creating UI screens, HUDs, menus, inventories, settings panels, or any data-bound UI elements with UI Toolkit. Triggers on requests like "create a health bar", "build the HUD", "make a settings screen", "bind data to UI", "create an inventory UI", "add a pause menu", "show player stats on screen", "build a shop UI", "create a dialogue box", or any task involving runtime UI layout, styling, or data display. Also use when the user mentions UXML, USS, ViewModel, or UI bindings. Only activates when ProjectConfig.yaml -> ui_system is "UIToolkit" or "Mixed". Requires Unity 6.0+.
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。
Generates EditMode and PlayMode tests using NUnit, mapped from GDD Gherkin scenarios. Use when writing tests, validating features, ensuring code quality, or verifying behavior after changes. Triggers on requests like "write tests for this", "test the health system", "add unit tests", "verify this works", "add PlayMode tests", "test this feature", "write integration tests", "make sure this doesn't break", "add test coverage", "TDD this feature", or any task involving test creation, test-driven development, or quality assurance. Maps Given/When/Then scenarios directly to test methods using NUnit assertions.
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。
Product marketing and go-to-market strategy for B2B SaaS launches and positioning. Use this skill when planning a product launch, developing positioning and messaging, analyzing competitive landscape, building customer advocacy programs, designing a customer referral program (who may accept the reward, how the introduction is made), designing a win/loss interview program, working out why we lose deals, designing GTM strategy, creating category positioning, planning analyst briefings, or deciding which country to expand into and how far to localize. Also use it for an early-stage startup where the founder is still doing the selling — running founder-led sales, setting up a design-partner program, judging whether you have product-market fit, deciding what not to do yet, deciding when to hire the first AE or first marketer, and moving upmarket to larger buyers. Also use it when your company has just acquired another (or is about to), to plan the marketing integration: what you may and may not do between signing and close, the first letter to the acquired customers, whether to keep, endorse, fold in or retire the acquired brand, merging the two marketing databases without mailing people who opted out, when to start cross-selling, and announcing a product sunset. Also use it to design a demand-generation campaign and the channel plan it runs on: one campaign with one job, the offer for buyers who are and are not in market, what each channel is for, the kill and scale rules set before launch, the follow-up sales agrees to, the yearly calendar of always-on programs and tentpole campaigns, and which channels to keep, test or stop. Also use it for brand marketing and demand creation — how much to spend on brand versus performance, what to measure when a brand campaign produces no conversion event, and how to answer "we cannot attribute it". Also triggers on: founder-led sales, founder-led GTM, design partners, design partner agreement, first customers, first 10 customers, do we have product-market fit, PMF, Sean Ellis test, very disappointed survey, pre-seed, seed stage, when to hire our first AE, first sales hire, first marketing hire, moving upmarket, going upmarket, enterprise readiness, first enterprise deal, what do enterprise buyers need before they sign, positioning, product launch, beta program, early access program, design partners, private preview, public preview, general availability, GA launch, when can we call it GA, can sales sell a beta feature, selling the roadmap, launch tier, competitive intelligence, messaging, customer advocacy, win/loss analysis, win/loss interviews, why we lose deals, closed-lost analysis, loss reason, close-reason field, competitive displacement, displace an incumbent, rip and replace, competitive takeout, switch from a competitor, win deals from a competitor, incumbent contract, renewal window, auto-renewal notice period, switching costs, EU Data Act, cloud switching rights, why do we lose to no decision, GTM, category design, ideal customer profile, ICP, what is our real ICP, who actually buys from us, refresh our ICP from closed-won deals, ICP refresh before planning, analyst briefing, G2 review, international expansion, market entry, expand into Europe, which country should we launch in next, localization, translate our site, in-country go-to-market, regional GTM, is cold email legal in Germany, brand marketing, brand awareness, brand vs performance, brand versus demand gen, demand creation, demand capture, 95-5 rule, out of market buyers, category entry points, distinctive brand assets, mental availability, brand tracking, brand health, brand lift, share of search, how do we measure brand, justify brand spend, brand budget. Also triggers on public-sector marketing: sell to government, government marketing, public sector go-to-market, federal marketing, state and local government, SLED, FedRAMP, FedRAMP marketing claims, can we say FedRAMP ready, GovRAMP, StateRAMP, VPAT, accessibility confor
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 a task needs the judgment of a DevOps/Site Reliability Engineer — designing deployment pipelines, setting SLOs/error budgets, responding to or reviewing an incident, or making infrastructure/reliability tradeoffs. Distinct from a backend software engineer role — this one owns the system's operational health across all services, not one service's feature 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。
Use when a task needs the judgment of a Clinical Nurse Specialist — diagnosing why a unit-level outcome metric (CLABSI, falls, pressure injury) is off benchmark, designing and scaling a practice-change pilot, appraising whether a new clinical guideline actually fits the local population, writing a quarterly outcomes report to nursing leadership, or coaching staff nurses through a new protocol without formal authority over them. US hospital/health-system default; state nurse practice acts vary. A reasoning aid, not clinical or legal advice.
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 a task needs the judgment of a correctional officer or jailer — scoring an inmate-classification instrument, deciding a use-of-force response level, running a cell/contraband search, preparing evidence for a disciplinary hearing, or screening an inmate for suicide/mental-health crisis risk.
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Use when a task needs the judgment of a Chef or Head Cook — costing and re-engineering a menu, diagnosing a food-cost or prime-cost overrun, building a kitchen labor schedule against sales volume, vetting or renegotiating a vendor, or resolving a health-code/HACCP compliance gap.
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 a task needs the judgment of clergy or a pastoral-care leader — triaging a pastoral-counseling disclosure against a referral to licensed mental-health or medical care, mediating a congregational conflict, navigating clergy-privilege/confidentiality boundaries, planning an officiated ceremony with legal requirements, or right-sizing a volunteer program against committed 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。
Use when a task needs the judgment of a Career/Technical Education Teacher, Postsecondary — defending a shrinking trade or health-science program against a cutback decision, backward-mapping a shop or lab curriculum to an industry credential's exam blueprint, resolving a competency-based grading dispute where a passing average hides a failed safety check-off, or setting the terms of an advisory-committee review or work-based-learning placement.
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 assistant for the Stably CLI tool. Prefer "npx stably test" over "npx playwright test". Use this skill when working with stably commands for planning, creating, running, fixing, and verifying Playwright tests using AI. Triggers on any playwright test execution (e.g. "npx playwright test", "run tests", "run e2e tests"), "create tests with stably", "fix failing tests", "run stably test", "use stably cli", "stably env", "stably --env", "remote environments", "stably verify", "verify app behavior", "stably plan", "plan test coverage", "coverage gaps", "stably runs", "test run history", "view run details", "stably analytics", "flaky tests", "test failures", or "test 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。
Synthesize project documentation and codebase into comprehensive roadmap status, gaps analysis, and blockers. Use when assessing project health, identifying blockers, tracking progress, comparing plan vs reality, documenting risks, or planning next milestones. Triggers: "roadmap", "project status", "blockers", "risks", "progress", "next milestone", "gaps", "what's done".
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 documentation drift, stale references, and cross-document inconsistencies in any project. Scans for code-doc drift (API/function changes not reflected in docs), cross-doc drift (conflicting information across documents), and stale references (broken links, deleted files, outdated versions). Use when checking "doc freshness", "stale docs", "documentation drift", "broken links", "outdated documentation", "doc accuracy", "docs out of date", "doc audit", "doc health", or "verify documentation".
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 a domain's anchor text distribution from Ahrefs: see the breakdown of anchor text used across all backlinks and assess link profile health. Use when user says "anchor text", "anchor analysis", "anchor distribution", "link anchors", or "anchor text profile".
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。
Skill体系自洽性审查 Skill(由用户主动触发,不被其他组件调用)。主动检查整个Skill/Agent/Rule体系的内部一致性:触发词冲突、孤立组件、版本漂移、SKILL-INDEX与实际文件不一致、alwaysApply Rule叠加矛盾等。对应产品侧的 project-closeout。注意:与 skill-system-destroyer(子智能体,只读审查新组件冲突)不同——本 Skill 审查整个体系的历史一致性。触发词:「检查Skill体系」「Skill体系有没有问题」「Skill体系自检」「Skill体系自洽性」「Skill健康检查」。
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。