Results for “progress”

Use when a task needs the judgment of a certified athletic trainer — triaging an on-field or on-court injury, deciding same-day return-to-play vs. refer-out, running a concussion sideline assessment and graduated return-to-sport progression, recognizing exertional heat stroke or another sudden-death emergency, or writing the objective findings that justify a clearance decision.

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Generate images via the Stable Diffusion WebUI / Forge HTTP API (AUTOMATIC1111-compatible `/sdapi/v1/*`). Use when the user wants to (1) discover or pick a model / extra module (TE/VAE) / sampler / scheduler / style preset from a running sd-webui server, (2) generate an image with a given prompt (txt2img), (3) check generation progress, (4) cancel/interrupt an in-flight generation, (5) inspect or change a global sd-webui option (e.g. active checkpoint), or (6) test connectivity. This skill talks to a *generic* sd-webui-compatible server (AUTOMATIC1111, Forge, reForge, sd-webui-forge-classic). Do NOT trigger for requests that are purely writing the prompt itself.

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Generates a comprehensive milestone progress review including feature completeness, quality metrics, risk assessment, and go/no-go recommendation. Use at milestone checkpoints or when evaluating readiness for a milestone deadline.

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Analyzes game balance data files, formulas, and configuration to identify outliers, broken progressions, degenerate strategies, and economy imbalances. Use after modifying any balance-related data or design. Use when user says 'balance report', 'check game balance', 'run a balance check'.

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Brownfield onboarding — audits existing project artifacts for template format compliance (not just existence), classifies gaps by impact, and produces a numbered migration plan. Run this when joining an in-progress project or upgrading from an older template version. Distinct from /project-stage-detect (which checks what exists) — this checks whether what exists will actually work with the template's skills.

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Unity game loop and progression design-to-code translation. Core loop scaffolding, session lifecycle, win/lose condition architecture, meta loop hooks, tunable difficulty, pacing & encounter timing. DESIGN INTENT format: INTENT/WRONG/RIGHT/SCAFFOLD/DESIGN HOOK. Based on Unity 6.3 LTS.

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用于添加或审查 Progressive Web App 能力，如可安装性、manifest 元数据、Service Worker 注册、Workbox 缓存、离线兜底、应用更新提示、maskable icons 或 iOS PWA 兼容性。不要用于普通 API 缓存或不可安装的性能调优；中文触发词包括 PWA、离线、Service Worker。

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Use when adding or reviewing Progressive Web App capabilities such as installability, manifest metadata, Service Worker registration, Workbox caching, offline fallback, app update prompts, maskable icons, or iOS PWA compatibility. Do not use for general API caching or non-installable performance tuning; Chinese triggers include PWA, offline, Service Worker.

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Guidance for Tauri v2 upload plugin with file transfer, progress reporting, and headers.

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Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check the status of an in-progress deployment operation, or clean up resources by undeploying models and deleting endpoints. Use when asked to actively deploy a model, list the Model Garden CATALOG of available models, check if a specific model is deployable (`gcloud ai model-garden models list-deployment-config`), query deployment cost, troubleshoot deployment errors (like quota limits), or undeploy/clean up endpoints. Also use when copying and deploying a 1P Tuned Model. Don't use for pure listing/discovery questions of the form "is X deployed?", "list my endpoints", or "which regions have models running?" — for those use `agent-platform-endpoint-management`. Don't use for public Vertex AI deployments (use the `vertex-deploy` skill) or for running model evaluations (use the `agent-platform-eval-flywheel` skill).

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Save where the session stands before ending it, so next can resume it in a clean context. Also reads or records project progress.

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Generate structured weekly or fortnightly status updates for leadership and stakeholders. Use this skill when: - You need to prepare a weekly or fortnightly status report - You want to summarize recent progress across git commits, tickets, and spec changes - You need a formatted update ready for Slack, email, or a stakeholder meeting - You want multi-project updates in one report

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Write a structured weekly or bi-weekly program status report for stakeholders. Use when the user says "write a status report", "program update", "stakeholder update", "weekly status", "RAG status", "program health report", "what do I send to leadership", "write the update for [program]", or needs to communicate delivery progress - even if they don't explicitly say "status report". Produces a concise, scannable report with RAG status, blockers, and decisions needed.

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Use when the user says "write my investor update", "monthly update for investors", "quarterly investor email", "investor communication", "LP update", "board update", "shareholder update", "what do I tell my investors this month", "how do I write a good investor update", or wants to communicate progress, metrics, and needs to existing investors or board members on a recurring basis.

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Build or refine the Ideal Customer Profile (ICP) and personas using the Jobs-to-be-Done framework (Clayton Christensen / Bob Moesta). Use when the user asks for ICP research, persona development, "who are our customers", buyer personas, audience research, "build our ICP", target customer definition, or wants to update persona docs. JTBD interview questions, three job dimensions (functional/emotional/social), and the Four Forces of Progress are wired into every persona. Writes to knowledge/icp/personas.md so all other skills get smarter. For the individual buyer persona rather than the segment, see customer-persona. For sourcing real customer language, see customer-research.

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Smart code scanner that detects Spring Boot patterns and routes to appropriate skills. Use when editing Java or Kotlin files in Spring Boot projects, working with pom.xml/build.gradle containing spring-boot-starter, or when context suggests Spring Boot development. Detects annotations (@RestController, @Entity, @EnableWebSecurity, @SpringBootTest) to determine relevant skills and provides contextual guidance. Uses progressive automation - auto-invokes for low-risk patterns (web-api, data, DDD), confirms before loading high-risk skills (security, testing, verify).

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Three.js asset loading - GLTF, textures, images, models, async patterns. Use when loading 3D models, textures, HDR environments, or managing loading progress.

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Use when building CLI tools, implementing argument parsing, or adding interactive prompts. Invoke for parsing flags and subcommands, displaying progress bars and spinners, generating bash/zsh/fish completion scripts, CLI design, shell completions, and cross-platform terminal applications using commander, click, typer, or cobra.

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AI นักดนตรี/Composer — แต่งเพลง, chord progression, arrangement, music theory, compose brief รองรับดนตรีไทย+สากล

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สร้างโปรแกรม coaching (GROW model) + intake form + session plan + progress tracking สำหรับ life/career/business coach

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สร้าง workout program 4 สัปดาห์ + exercise library + progression + tracking sheet สำหรับ home/gym

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Run a task iteratively over a user-specified duration by dispatching subagents. The orchestrator stays strictly linear and time-checked, but each iteration fans out MULTIPLE subagents in parallel over independent units (and those subagents may fan out further). Shared state — a compact progress digest and a growing environment cheatsheet — lives on disk and is passed to every subagent BY REFERENCE, killing the per-subagent rediscovery tax. Every subagent first reads an initialiser preamble that points it at that shared state and makes it write findings back, so the cheatsheet populates itself; role prompts are produced ONCE on the filesystem by a single scaffold command and dispatched by path, never re-typed per dispatch. Subagents persist their results to disk and return only a tiny status, so the orchestrator's context stays small and lasts. The orchestrator classifies the goal as FINITE or OPEN-ENDED: finite lists may finish early; open-ended goals use the full duration, never idle, never manufacture busywork. Use when the user gives a task and a duration and wants it ground out iteratively by subagents over that time.

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Comprehensive China expertise debunking sinophobia, explaining phenomenal 40-year progress, technology leadership, realistic challenges, and optimistic future outlook

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Deep game design health assessment across five dimensions: review core loop and progression systems, analyze in-game economy for inflation and sink/source balance, mathematically simulate combat balance and drop rates, audit analytics event coverage, and evaluate monetization ethics..

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