“steering”的搜索结果

Use this skill when the user has an existing DPDK application and is adding DOCA capabilities in-place — most commonly DOCA Flow hardware steering — without rewriting the data-plane in DOCA-native form: binding a DPDK port id to a `doca_dev` (`doca_dpdk_port_probe` / `doca_dpdk_port_as_dev`), converting `rte_mbuf` ↔ `doca_buf`, querying `doca_dpdk_cap_is_rep_port_supported`, or debugging `DOCA_ERROR_*` from a bridge call. Trigger even without "DOCA DPDK Bridge": "how do I add DOCA Flow to my DPDK app", "make a DPDK port visible to DOCA", "the bridge loads but every operation returns errors", "pkg-config --exists doca-dpdk-bridge fails", or "DOCA_ERROR_NOT_FOUND on port registration". Route elsewhere for fresh DOCA-native packet I/O (doca-eth), flow-rule programming (doca-flow), DOCA or DPDK install (doca-setup), or RDMA data movement (doca-rdma).

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Configures Amazon Route 53 DNS: public and private records, traffic-steering routing policies, health checks, DNS Firewall, Route 53 Profiles, VPC Resolver (also known as Route 53 Resolver) for hybrid and Outposts networks, and Global Resolver. Applicable when the customer wants to point a hostname at a target, split or fail over traffic across endpoints, monitor an endpoint, block malicious domains, centralize DNS across accounts, or resolve private DNS across a hybrid network. Routes to the right per-task procedure in references. Does not cover CloudFront-specific setup (see the route53-cloudfront skill) or non-DNS networking.

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Build a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system (response curves — linear, exponential, sigmoid, quadratic — considerations, and action evaluators), plus hybrid BT-drives-Utility agents. Use when implementing a reusable behavior-tree or utility-based decision system, or tuning enemy/NPC decisions beyond a simple FSM, or when the user mentions behavior tree, blackboard, decorator, selector, sequence, tick status, utility AI, response/scoring curve, or consideration. For choosing between FSM/BT/steering or for pathfinding, use game-ai; for Unreal's BehaviorTree/Blackboard assets, use unreal-behavior-trees.

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Write calm, businesslike co-parenting messages that keep the focus on the kids and stay out of the old conflict — for scheduling, expenses, decisions, and hard topics. Use when asked to write a message to my co-parent, respond to my ex about the kids, co-parenting communication help, or how to reply without a fight. Produces a message drafted in a neutral, child-centered tone (the 'BIFF'-style brief/informative/friendly/firm approach), the bait removed, a clear ask or answer, and a note on documentation — steering away from anything that escalates. Not legal advice.

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Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that distinguishes loudest-voice (whoever complains most wins) from averaged-noise (every signal weighted equally) from triaged-synthesis (signal weighted by source quality, frequency, and decision relevance). Triggers on user feedback, customer feedback aggregation, NPS, support ticket analysis, customer councils, feedback synthesis, voice of customer, feedback triage, in-app feedback. Also triggers when feedback channels overflow with volume that does not produce decisions, when the loudest-voice problem is steering roadmap, or when continuous feedback streams need synthesis discipline.

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Program management for multi-project coordination, portfolio governance, dependency tracking, benefits realization, charters, and steering-committee reporting. Use to stand up or run a program and escalate program status.

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Expert blueprint for sports games (FIFA, NBA 2K, Rocket League, Tony Hawk) covering physics-based ball interaction, team AI formations, contextual input, and match umpire/score authority. Broadcast framing routes to godot-camera-systems. Use when building soccer, basketball, hockey, racing sports, or arcade sports games. Keywords ball physics, magnus effect, formation AI, team tactics, contextual controls, steering behaviors.

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Use when implementing AI movement — NavigationAgent2D/3D, steering behaviors, behavior trees, and patrol patterns

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Expert blueprint for sports games (FIFA, NBA 2K, Rocket League, Tony Hawk) covering physics-based ball interaction, team AI formations, contextual input, and match umpire/score authority. Broadcast framing routes to godot-camera-systems. Use when building soccer, basketball, hockey, racing sports, or arcade sports games. Keywords ball physics, magnus effect, formation AI, team tactics, contextual controls, steering behaviors.

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Create AI avatar and talking head videos via inference.sh CLI. Recommended: P-Video-Avatar (fastest, cheapest, built-in TTS). Also: OmniHuman, Fabric, PixVerse. Audio: Inworld TTS-2 (100+ languages, emotion steering for characters), ElevenLabs, Kokoro. Capabilities: audio-driven avatars, text-to-avatar, lipsync videos, talking head generation, virtual presenters, UGC content. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos, UGC ads, gaming avatars, NPC dialogue. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human, ugc, ugc video, ugc ad, avatar ugc

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Evaluate any agent skill against a merged framework — Anthropic's Claude Code best practices plus Matt Pocock's writing-great-skills methodology — across 4 axes (Trigger, Structure, Steering, Pruning). Produces an evidence-cited scorecard (0–100), a weighted overall score, and diagnosed failure modes with prioritized fixes. Use when the user asks to evaluate, rate, or audit a skill ("evaluate this skill", "skill scorecard", "review SKILL.md"), or to compare two skills.

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Advanced and operational chat.agent capabilities for Trigger.dev, loaded on demand. Load this when working on the raw Sessions primitive (sessions / SessionHandle), a custom chat transport or the realtime wire protocol, durable sub-agents (AgentChat, chat.stream.writer), human-in-the-loop, steering, actions, background injection (chat.defer / chat.inject), fast starts (preload, Head Start via @trigger.dev/sdk/chat-server), context resilience (compaction, recovery boot, OOM, large payloads), chat.local run-scoped state, offline testing with mockChatAgent, or prerelease/version upgrades. For the everyday chat.agent({...}) definition and the useTriggerChatTransport happy path, use the trigger-authoring-chat-agent skill instead.

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Spawn and manage persistent interactive Claude Code CLI sessions with bidirectional communication via tmux. Provides spawn, send, read, status, list, and kill subcommands for orchestrating parallel peer sessions. Uses built-in --worktree and --tmux flags. Sessions stay alive for multi-turn steering. Triggers on "spawn claude session", "launch separate claude", "peer session", "inter-session communication", "shadow clone", "kage bunshin".

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Design a generative recipe DSL so agents emit small validated JSON documents and ONE audited interpreter renders them all — data, not code. Covers the N-artifacts threshold for choosing a DSL over bespoke code, designing roles as style slots so a single recipe renders unchanged in every output style, the validator gate (compile + bounds + real render in all styles, plus a --fast mode for corpus-wide sweeps), hand-authored seed recipes, and the emergent conventions that keep a corpus of hundreds consistent without per-item steering. Use when many similar artifacts (icons, status badges, diagram nodes, test fixtures) must be generated by agents, when per-item bespoke code is multiplying unreviewable code paths, or when a whole corpus must be re-rendered cheaply into new styles.

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Generate a project status report by reading existing artifacts (charter, backlog, sprint plan, WBS), calculating metrics, identifying blockers, and summarizing progress with RAG indicators for schedule, scope, budget, and quality. Use at the end of a sprint or reporting period, when stakeholders request a health update, before steering committee or governance meetings, or when a new blocker or risk materializes mid-project.

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Elicit and challenge data-analysis requirements before querying. Use when the user asks ambiguous data questions, requests business/report answers, needs metric definitions clarified, or may be drawing decisions from incomplete data.

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Elicit and challenge data-analysis requirements before querying. Use when the user asks ambiguous data questions, requests business/report answers, needs metric definitions clarified, or may be drawing decisions from incomplete data.

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Convert scattered progress notes, RAID changes, and milestone movement into a clean weekly or biweekly status update. Use when the work is routine status packaging or steering prep. Do not use for project governance design, root cause analysis, or deep portfolio risk assessment.

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Structure a consulting findings presentation using the Pyramid Principle storyline. Use when a consultant says "help me structure my presentation", "I have findings and need to present them", "how do I structure the deck", "build me the storyline", "help me tell the story of the findings", "I have data but no narrative", "client presentation is next week", "how do I present recommendations to the steering committee", or "the deck needs a through-line". Also trigger when someone has completed analysis and needs to communicate findings and recommendations to senior client stakeholders in a structured, persuasive format.

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Analyze game AI systems including behavior trees, finite state machines, GOAP planning, utility AI scoring, A-star and NavMesh pathfinding, steering and flocking behaviors, perception and awareness models, dynamic difficulty adjustment, NPC dialogue trees and scheduling, boss AI patterns.

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Modify NPC behavior, HTN tasks, navigation, steering, prototypes, and AI debugging.

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Builds a DRAFT stakeholder map for one project from the charter, organisation chart, RACI, governance terms, steering minutes, meeting notes and messages the user provides: a stakeholder register, interest and influence ratings each with its stated basis, stance as evidenced by a verbatim fragment with source and date, gaps, and a proposed engagement plan per stakeholder, every line traced to a source and every missing fact marked UNKNOWN. Use when the user asks to "build the stakeholder map", "who are the stakeholders on this project", "map interest and influence", "where does each stakeholder stand", "draft the stakeholder engagement plan" or "refresh the stakeholder register". Do not use for a customer account's stakeholders, use account-plan-builder instead; for a one-page brief before one meeting, use meeting-prep-onepager; for logging decisions and risks against the project, use project-status-tracker. Drafts for human review; never approves, authorises or signs off.

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Reviews a RAID log (risks, assumptions, issues, dependencies) line by line and returns a DRAFT review pack: which entries are stale, overdue, duplicated, ownerless, incomplete or misfiled, why, and a proposed update per line as current text against proposed text with the decision the project manager must take. Never re-rates, closes, merges or edits the log. Use when the user asks to "review the RAID log", "clean up the risk log", "health-check the RAID log before the steering meeting", "which risks are stale", "find duplicate risks" or "refresh the issue log". Do not use for setting up a new RAID log or logging a single new risk, issue or decision, use project-status-tracker instead. Drafts for human review; never approves, authorises or signs off.

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Turns a schedule extract (milestone list or planning tool export) and the period's status notes into a DRAFT plain-language slip explanation: which milestones and activities slipped and by how many working days, arithmetic shown, why per the notes as verbatim fragments with source and date, what each slip pushes next per the extract, and the decision each slip needs framed as a question with the options the notes propose and the owner the governance documents name, every missing fact marked UNKNOWN. Use when the user asks to "explain the schedule slip", "what slipped this month and why", "write the schedule commentary for the steering pack", "put the delay in plain language for the sponsor" or "what decisions do these slips need". Do not use for the weekly status report, use project-status-tracker instead; for cost variances, use budget-variance-explainer; for one sprint's carry-over, use sprint-review-summary. Drafts for human review; never approves, authorises or signs off.

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