热门 Agent Skills
2094 个技能Build, migrate, and deploy Next.js apps on Cloudflare Workers with vinext.
在当前的稳定版 @cloudflare/sandbox 包上构建或修改 Cloudflare Sandbox 应用，涵盖命令、会话、文件、端口、隧道、终端、桥接、生产环境及弃用 API 清理。
将 Cloudflare Sandbox 应用从稳定的 @cloudflare/sandbox 迁移到 @cloudflare/sandbox@next（Sandbox SDK 1.0 预览版）。
用于在 @cloudflare/sandbox@next（Sandbox SDK 1.0 预览版）上构建或修改 Cloudflare Sandbox 应用。
Profile or debug CPU usage and memory allocation in deployed Cloudflare Workers and Durable Objects.
Run a periodic, checklist-based hygiene audit over an active pipeline snapshot - stale deals (no stage, close date, or amount change, not logged touches) flagged against segment-specific stage medians, close-date push-count anomalies, and missing forecast-critical fields - producing an exception list with a disposition per flagged deal, a remediation plan, and a pass threshold.
Turn a business's ICP and buying signals into a layered ad audience targeting plan - cold/broad prospecting, interest and in-market behavioural segments, lookalike/similar, first-party lists, and retargeting pools - each sized against platform audience floors, budgeted to the learning threshold, and kept from overlapping by exclusion rules.
Turn a campaign goal and an audience insight into a structured creative brief a designer, video editor, or UGC creator can execute - messaging angle, hook directions, art direction, specs, testing intent, and the handoff and revision loop.
Build the complete hiring packet for a paid-advertising role - the rung decision (media buyer vs performance marketer vs growth marketer; creative strategist is its own role), an outcome scorecard, a 2-3 round interview loop with a judgment-first question bank, a time-boxed in-interview work sample, and a 30-60-90 ramp with staged spend authority.
Decide when a proven paid campaign has earned a budget increase, how large each step should be, how the ramp sequences over weeks and months, and how to avoid performance collapse on the way up - including readiness gates, vertical vs horizontal scaling, and rollback triggers.
Build and troubleshoot Cloudflare Basin analytics workflows with Basin Pipelines, Basin Catalog, and Basin SQL.
Before starting any RevOps or Sales Ops task, and at the start of every session on an ongoing RevOps project, run this first - it routes the task to exactly one skill of the revops-skills collection or says plainly that none fits, and bootstraps or resumes the project's shared, versioned context artifact so the next session starts warm instead of cold, ending in a short-list plus an ordered skill chain.
Design a pre-launch ad creative test plan - falsifiable hypothesis, isolation level, test cells with per-cell budgets, required sample, spend and duration, and kill/scale rules pre-registered before any money moves.
Build, debug, or review Cloudflare Workers invoked by the Forward action in Gateway HTTP policies, including the GatewayMiddleware entrypoint, Gateway types, context, and continuation.
Quantify and explain the discrepancy between ad platform reporting, an analytics tool, and the source of truth (CRM or order system), classifying every unit of the gap as timing, definitional, or unexplained residual.
Design the org-wide revenue KPI framework at the macro level - which metrics matter at each org level from board to IC, how they roll up through a reconciling metric tree with explicit math, who owns each branch, which guardrail counter-metrics ride alongside each owned number, and how the set is gated by company stage and business model.
Establishes a project's quality bar as a written contract and stops agents quietly lowering it.
万得金融能力发现与安装路由入口，用于识别并安装金融数据、行情查询、市场分析等工作流所需的数据底座和工作流技能。
Decide which paid channel families fit a business's economics, audience, funnel stage, and budget at campaign setup - paid search, paid social, short-form video, connected TV, native/discovery, retail media, programmatic display, podcast/audio, paid review listings, B2B professional networks - including whether each is affordable against allowable CAC and payback.
Compute a business's CAC and ROAS family metrics from real spend and outcome data, then judge whether the spend is healthy against three references - the business's own break-even, its own trailing history, and provenance-labelled external benchmarks - returning healthy, watch, unhealthy, or insufficient evidence.
Split a fixed total paid-media budget across campaigns, platforms, funnel stages, and audiences based on expected marginal return - the monthly or quarterly reallocation decision, for B2B and B2C.
Audit a landing page receiving paid traffic against post-click conversion best practice and return a prioritised fix list - message match to the ad, above-the-fold clarity, form friction, trust, speed, mobile, policy risk - with every finding labelled by evidence class and no statistical claims on thin data.
Before starting any paid advertising work, before each recurring advertising review, and whenever routing is unclear, route the task to the right skill of the advertising-skills collection - or say plainly that none fits - and bootstrap or resume the project's shared context artifact.
Verify that conversion events are correctly configured, firing once, and deduplicated before a paid campaign launches, then turn the evidence into a GO / NO-GO decision.
Build the complete hiring packet for a RevOps or Sales Ops role - archetype and level decision, outcome scorecard, interview stage map with a competency question bank and anchored rating scales, a work-sample exercise with rubric and debrief, and a 30-60-90 ramp plan branched on seniority and archetype.
Build a personalised, time-budgeted watch list of RevOps / Sales Ops information sources - revops podcasts, revops newsletters, revops communities, industry events, and revops people to follow - every source verified still active, with a periodic refresh routine that keeps the list fresh.
Build and maintain a competitor swipe file - competitors' currently-running ads collected into a categorised, queryable library classified by format, hook type, offer/angle, awareness stage, and funnel stage, then converted into ranked creative test hypotheses.
Diagnose why an existing sales forecast is unreliable and recommend fixes - stage inflation and happy ears, sandbagging, deals without verifiable buyer evidence, stale or mass-pushed close dates, wrong forecast-category assignment, zombie and duplicate opportunities, late-created deals, manager roll-up overrides, and comp incentives that reward bias - separating data-quality from behavioral from genuine demand problems.
Diagnose the root cause of an underperforming paid ad account - why the ads stopped working, why CPA went up, why ROAS dropped - instead of defaulting to 'increase the budget'.
Track daily and weekly spend against a single campaign or account budget and flag under-pacing or over-pacing before it hurts results, reporting the pacing ratio, projected period spend, and the corrective daily spend behind every alert.
Design a multi-stage retargeting sequence from a site's own funnel data - recency windows and behavioural-depth tiers per stage, a message and offer ladder for each stage, mutually exclusive audiences with exclusion logic, and per-stage frequency caps.
Build and maintain negative keyword lists from search term reports to cut wasted ad spend in paid search - n-gram query mining to surface irrelevant search terms, the right negative match types and exclusion levels (account, shared list, campaign, ad group), and a review cadence that avoids overblocking queries that convert.
Build a personalised, time-budgeted watch list of paid-advertising information sources - PPC and paid-social podcasts, newsletters, ad-platform release notes, communities, industry events, and media buyers worth following - with a verification method that keeps it fresh and a disclosure of what each source is selling.
Set the organisation's top-level paid-media spend guardrails as written policy - maximum allowable CAC, minimum ROAS/MER floor, kill-switch thresholds, counter-metrics, who owns them and who may override them - each derived from contribution margin, payback, and cash runway rather than inherited from a dashboard.
Map the likely buying committee for an offer, deal size, and industry, and give each role a messaging angle plus the ad-targeting proxy - job function and seniority, account list, account-level intent - that actually reaches them, sequenced by buying stage.
Build and advance a RevOps or Sales Ops career from the candidate's side - place the candidate on the ladder by scope rather than title, close competency gaps, build defensible evidence of structurally invisible work, and prepare the four exercises RevOps interview loops actually run.
Choose the bidding policy per platform and goal - manual vs automated, cost-goal vs value/return-goal, when to switch, and how to set and move the target - written up as a policy with an evaluation window, change discipline, and a rollback trigger.
Audit existing sales pipeline stage definitions against buyer-verifiable milestones and flag the ones built on rep activity instead.
Design and operate CRM field-level governance - who owns each CRM field, which system is authoritative for it, how often it must be refreshed, and how the rules are enforced.
Plan and advance a paid-advertising career from the candidate side - media buyer, performance marketer, PPC specialist, creative strategist, growth marketer - covering the junior to lead ladder, the five real interview formats (live account audit, mental-maths case, metric diagnosis, take-home, behavioural), an NDA-safe results portfolio, platform certifications, in-house vs agency vs freelance, and promotion and pay conversations.
Decide whether a running ad creative is genuinely wearing out, or whether a confounder - budget change, learning-phase reset, audience saturation, auction CPM inflation, seasonality, tracking breakage - explains the decline, and return a verdict with confidence plus the highest-return remedy per unit of effort.