“nes”的搜索结果

Run a Meta-Harness-style optimization loop NATIVELY — automatically search over the scaffolding around a FIXED base model (memory, retrieval, context construction, prompt templates, summarization, tool-selection logic) by proposing candidate variants, scoring each on a cheap deterministic eval, and keeping a Pareto frontier of quality vs cost — using native Agent / Workflow / loop tools instead of a standalone Python harness. Use this whenever the user wants to optimize, evolve, tune, distill, or search over a harness, scaffold, prompt system, memory or retrieval policy, context-assembly code, or summarizer while keeping the model fixed; whenever they mention Meta-Harness, harness optimization, scaffold evolution, automatic prompt/memory optimization, an evolutionary or Pareto search over candidate implementations, or "make the harness/agent better without retraining"; and whenever the gain must come from the code AROUND the model rather than the model weights. Reproduces the Meta-Harness paper's method natively, with no claude_wrapper.py and no metered solver API.

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中文字体选配与排版决策专家。为中文为主的设计场景（小红书卡片、产品册/宣传物料、 网页/UI、图书内页排版、海报标题）选择可免费商用的中文字体并给出中英混排方案。 内置授权安全分级（开源 OFL 铁稳 / 厂商免费商用 / 慎用），场景×气质选字矩阵， 中文排版规则（字号阶梯、行距、标点、避头尾）。当用户要求"选字体/字体搭配/字体推荐/ 中文排版/小红书字体/产品册字体/网页字体/标题字体"，或任何中文视觉设计任务涉及字体 决策时触发。Triggers on: 中文字体, 中文字体推荐, 字体选择, 字体搭配, 字体配对, 字体筛选, 字体审美, 免费商用字体, 可商用字体, 开源字体, 思源黑体, 思源宋体, 霞鹜文楷, 得意黑, 中文排版, 中英混排, 小红书字体, 海报字体, 标题字体, Chinese font, Chinese typography, CJK fonts, Chinese font pairing, Chinese font selection, free commercial Chinese fonts, 中文商用字体, font pairing Chinese, typeface selection Chinese, Source Han Sans, LXGW WenKai。

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xp-harness の skill / agent を新規作成・改修するとき、または xp-harness そのものの設計判断 (取り込む / 取り込まない / 翻訳する) を考えるときに必ず発火させる skill。xp-harness の中核思想 (最終形の理想像 = エージェント群と利用者で XP の開発チームを成す、価値で導きつつ規律装置最小注入、エンジニアとして振る舞う、ペアプロ哲学、中央集権より decentralized、outside-in 例外なし、対話と自走の境界、INVEST の取捨、共創を目指す対話) を context に inject し、新規 skill / agent の設計判断や既存 skill / agent の改修判断を、xp-harness 思想と整合させるためのもの。

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将照片和图像转换为采用NES、Game Boy等配色的复古像素画，输出PNG，也可叠加雨雪或闪烁星光，制作短MP4或GIF动画。

• 将照片转换为复古像素画
• 制作游戏风格头像和角色
• 制作海报及社交平台用像素画

读取已声明的MCP服务器和工具配置，静态检查权限、策略及依赖问题，输出检查结果，并可按问题严重程度设置使CI检查失败的条件。

• 检查MCP服务器和工具权限
• 检查配置策略与依赖问题
• 按严重程度判定CI是否失败

Track multiple M&A, financing, or restructuring deals in an Excel workbook. Organize stages, milestones, deadlines, and assigned tasks, flag delays and risks, and prepare a weekly review covering developments and upcoming work.

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• Reviewing progress across multiple active deals
• Tracking bid deadlines and expected closing dates
• Managing assigned tasks and overdue items across deals

Turn brand documents, sales call transcripts, discovery reports, and direct input into writing guidelines. Define a consistent brand personality, adapt tone by context, and attach source evidence, confidence ratings, and recommendations for unresolved questions.

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• Consolidating scattered brand materials into writing guidelines
• Extracting brand language from sales call transcripts
• Defining tone for social posts and business proposals

Connect NanoClaw to WhatsApp for one-to-one conversations using Meta's official WhatsApp Business Cloud API. The skill installs a Chat SDK adapter and guides credential setup, webhook configuration for receiving messages, and connection checks.

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• Chat with a NanoClaw agent through WhatsApp
• Connect an official WhatsApp Business number
• Configure a public webhook for incoming messages

Plan and review new Omnigent harness integrations, the adapters connecting agent runtimes to the platform. Compare SDK and subprocess approaches with native interface wrappers, using capability matrices and checklists for implementation and testing.

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• Plan a new agent runtime integration
• Compare SDK and native integration requirements
• Review approval, streaming, and session support

Prepare an outline for a deposition, a formal session for taking witness testimony. Using case strategy and witness documents, the skill organizes questions, key evidence, inconsistent prior statements, and exhibits, adapting question style to the witness's role.

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• Building a deposition outline for a named witness
• Organizing key documents involving a witness
• Preparing questions suited to the witness's role

Set up Git workflows for Gitee, Coding.net, 极狐 GitLab, and CNB with platform-specific connection and authentication examples. Choose branching rules, standardize Chinese commit messages, and adapt automated testing and deployment configurations to your team's workflow.

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• Configure connections and authentication for Chinese Git platforms
• Choose branching rules that fit the team
• Standardize Chinese commit messages and review templates

Standardize Chinese Git commit messages and changelogs using Conventional Commits, a structured message format. The skill provides writing rules and configuration examples for message checks, interactive commit entry, and automatic changelog generation.

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• Standardizing Chinese commit messages across a team
• Checking commit formats with commitlint and husky
• Generating changelogs with Chinese section headings

Assess SaaS business health across growth, customer retention, profitability per customer, and cash efficiency. Use available metrics to build a stage-aware scorecard, identify warning signs, and prioritize improvements for business reviews or fundraising preparation.

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• Preparing a business health scorecard for a board meeting
• Prioritizing improvements during a quarterly business review
• Reviewing business metrics before fundraising

Collect structured business data from Google Maps search results, including names, addresses, ratings, and price ranges. Set search terms, language, country, and result limits to build lists for sales prospecting or local market research.

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• Build a list of local sales prospects
• Research competitor locations in a city
• Compare restaurant ratings and price ranges

Convert straight quotation marks in Chinese text into directional opening and closing quotes. Handle nested quotations while preserving code and English apostrophes by default, with options to preview changes or save the converted file.

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• Standardize quotation marks in Chinese drafts
• Convert quotes while preserving Markdown code
• Format nested quotations

Build a Python workflow for empirical research, from data cleaning and statistical checks to estimation, robustness checks, and paper-ready tables and figures. Economics is the default, with additional modes for epidemiology, public health, and machine learning for causal inference.

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• Building an end-to-end empirical analysis workflow in Python
• Replicating an applied economics paper
• Producing regression tables and event-study plots

Review Chinese text for formulaic wording and repetitive sentence or paragraph patterns, then rewrite it in a more natural style. Supports academic writing, fiction, and social media styles, with offline scripts to compare scores before and after revision.

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• Revise formulaic wording in Chinese text
• Refine Chinese academic prose
• Adapt Chinese text for social media

[omh] Which tools and credentials a workflow needs: inventory which MCP servers, CLIs, APIs, credentials, and connectors a workflow needs; use external-connector-readiness to assess one named integration and executor-runtime-readiness to choose the coding owner. Use when the user says: toolbelt-readiness, mcp readiness, tool readiness, plugin readiness, connector readiness, needed mcp, api credential, missing cli.

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Operates Amazon Kinesis Data Streams (KDS). Covers streaming tables and Amazon S3 delivery - serverless, fully managed delivery from a KDS stream to Apache Iceberg tables on S3 Tables or to general-purpose S3 buckets. Includes channel setup, IAM, schemas, output key templates, CloudWatch metrics and alarms, DLQ handling, quotas, and troubleshooting. For all other KDS topics and questions, search AWS documentation and blogs instead. Triggers: Kinesis Data Streams, KDS, streaming tables, stream to S3, stream to Iceberg, stream to S3 Tables, KDS delivery, KDS channel, CreateChannel, data channel, data freshness, dead-letter queue, KDS lakehouse, serverless Kinesis delivery, Firehose alternative for KDS, zero-ops Kinesis to S3. DO NOT USE for Kinesis Data Firehose, Kinesis Video Streams, or Managed Service for Apache Flink — use dedicated skills or search documentation instead.

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Guided journey from a stalled, plateaued business to one with an honest diagnosis, a working operating rhythm, and offers repriced to real value. Orchestrates eight skills phase by phase - good-strategy-bad-strategy, traction-eos, high-output-management, team-topologies, drive-motivation, lean-analytics, negotiation, monetizing-innovation - asking the user questions at every decision point and recording results in the project docs/ folder (STRATEGY.md, OPERATIONS.md, METRICS.md, IMPROVE-BUSINESS-PLAN.md) so the journey resumes across sessions. Use when the user wants to fix a business that has plateaued, diagnose why growth stalled, tighten strategy and execution, re-motivate a team, or says 'revenue is flat and I do not know why'. Starting from scratch with no customers: use create-business. Once the fundamentals work and the goal is expansion: use grow-business. When the product itself drags the business down: use improve-app. For one framework in isolation, invoke that skill directly.

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Worked qupai-system (曲牌体) opera scripts, act by act. Guan Hanqing's three surviving zaju (窦娥冤／救风尘／金线池 — twelve acts, 126 tunes, one mode and one rhyme per act, sung/spoken ratios); Tang Xianzu's 牡丹亭 (55 scenes, ~420 tunes, 集唐 closing quatrains, the 圆驾 south-north composite suite); Kong Shangren's 桃花扇 (44 scenes plus four unnumbered, the 副末 frame line, upper/lower halves, a fan's seven transformations, his sixteen 凡例); 长生殿 (Wang Jilie's fifty-scene staging table); Wei Minglun's 巴山秀才 (1983 Sichuan 高腔, 43 tunes, nine 帮腔 passages). Every case states its edition and collation status, then structure, tunes, stage conventions and transferable devices. Method is in sw-chinese-opera-qupai; this skill holds the worked scripts. Use when you want a real example of how a 传奇 or 杂剧 is assembled, need actual scene counts and tune counts to imitate, are judging where a famous script breaks prosody, or need models for 副末开场, 集唐下场诗, 南北合套 or 帮腔 (曲牌体全本／牡丹亭／桃花扇／窦娥冤／救风尘／长生殿／巴山秀才／唱段表／结构表).

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Ensures the tenant has a usable Power Platform Pipelines host environment before any pipeline operation runs. Detects host state via the same resolution order as the Power Apps UI (org-db setting → BAP env metadata → default-custom-host setting); if any existing host (Platform or Custom) is found, uses it. If no host is bound to the source env, provisions a new **Platform Host** (recommended, idempotent) or a **Custom Host** via the BAP env-create API with the `D365_ProjectHost` template, or guides the user through PPAC install / `New custom host` (manual fallbacks). Polls lifecycle operations, verifies the host responds to Pipelines API calls, writes a host-check artifact other ALM skills consume. Use when asked to: "set up pipelines host", "ensure pipelines host", "no pipelines host", "install pipelines", "create pipelines host", "provision platform host", "provision custom host". Also invoked transparently by /power-pages:setup-pipeline when its host discovery step finds nothing.

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Given a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.

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When you want to pressure-test a potential new business, product, or side project against the serial-founder filter. Not "marketing ideas for a product" (that's marketing-skills:marketing-ideas) — this is "should this business exist + can you win it." Runs the idea through a structured framework (problem, audience, wedge, monetization, moat, portfolio fit, distribution, energy fit, opportunity cost), checks domain availability via /domain, optionally triggers /deep-research for market validation, and outputs a viability brief: build / sleep on it / pass. Archives every idea to ~/.config/makerskills/business-brainstorm/archive/ so past work is searchable. Triggers on "/business-brainstorm," "/brainstorm," "new business idea," "should I build X," "pressure test this idea," "validate this idea," "is X a good business," "what about a [type] for [audience]."

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