'pip' 검색 결과

Turn selected Screenpipe activity into a concise recap for a defined audience. Summarize outcomes from recorded evidence, then review the draft to remove identifying details, private links, sensitive amounts, and unnecessary personal information before sharing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Prepare a public recap of selected work
• Create a progress summary with fewer identifying details
• Remove private details from an activity-based draft

Review and improve code changes on the current branch using Pipecat conventions. Refine names and structure, add type hints and documentation, check example patterns, and make conservative performance improvements while preserving compatibility.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Cleaning up branch changes before review
• Adding missing type hints and documentation
• Checking Pipecat service and example patterns

Research new models and API capabilities offered by providers behind Pipecat services. Produce dated reports for each service and local committed branches for clear updates, with review commands and separate publishing steps.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking providers for new models and API features
• Researching selected providers or service units
• Preparing local branches for clear updates

Build or repair NVIDIA voice agents with Pipecat or LiveKit for real-time spoken conversations. Set up speech recognition, language models, and speech synthesis, customize pronunciation or multilingual routing, and deploy locally or in the cloud.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a new real-time voice agent
• Repair an existing voice conversation pipeline
• Customize speech recognition and pronunciation

Manage Pipedrive sales records through Rube MCP, a connector for agent tools. Create and update deals, contacts, and organizations, schedule activities, attach notes, and review pipelines and stages to track sales progress.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create and update deals linked to contacts and companies
• Search and maintain contact and organization records
• Schedule calls and meetings linked to deals

Access ENCODE uniform analysis pipelines, generate user-specific Nextflow/WDL pipelines, manage compute resources, and integrate with cloud platforms. Use when the user wants to understand ENCODE pipelines, run pipelines on their own data, generate custom Nextflow workflows from ENCODE pipeline code, check compute requirements (CPU/GPU/memory), run pipelines in background, or integrate with Google Cloud, AWS, or other cloud platforms. Also use when the user asks about ENCODE pipeline outputs, processing standards, software versions, or wants to replicate ENCODE processing. Covers local execution, HPC, and cloud deployment with resource-aware scheduling. Use this skill for ANY pipeline execution, workflow generation, or compute resource management task involving ENCODE data.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Procedimiento estructurado de 6 pasos para mejorar, renovar o reconstruir pipelines existentes, carpetas de proyectos individuales, estructuras de documentación o stacks de software. Direccionable como "pipeline optimizer" (para pipelines temáticos completos, p. ej. de software, investigación o desarrollo de videojuegos) o "project-folder optimizer" (para carpetas de proyectos individuales dentro de un pipeline, p. ej. una herramienta de software o proyecto de artículo académico). Se activa ante tareas como "mejorar pipeline X", "optimizar el stack", "reconstruir Y", "renovación", "refactorización de pipeline", "limpiar carpeta de proyecto", "mejorar estructura de carpetas", "unificar convenciones", "consolidación de documentación", "integrar en sistema existente" o cualquier intervención sustancial en estructuras establecidas. Proporciona análisis del estado actual, aclaración del propósito, boceto del estado ideal, plan de brechas, identificación empírica de puntos de dolor y reevaluación con subagentes limpios. Previene estándares paralelos, duplicación y rupturas en el pipeline.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Aws Data Pipeline — aWS Data Pipeline workflow management and execution analysis. Covers pipeline inventory, pipeline definitions, execution status, object status, task runner health, and pipeline scheduling. Use when inspecting data pipeline health, debugging failed executions, reviewing pipeline definitions, or auditing pipeline schedules.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Explains how to replace the removed $pipeline command with $plan for planning and $team for coordinated parallel work. This retirement notice provides migration guidance rather than an executable workflow of its own.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Updating instructions that still reference $pipeline
• Choosing separate commands for planning and parallel execution
• Finding the command for persistent goal runs

Review sales opportunities by stage to see deal totals, aging, and risks. Identify stalled deals, overdue closing dates, and missing next steps, then compare available opportunities with sales targets and recommend where to focus.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a weekly sales pipeline review
• Finding stalled deals and overdue closing dates
• Checking whether opportunities cover a sales target

Search Screenpipe recordings, screen text, audio transcripts, and synced-device history through its local API. Use the evidence to review activity, find meeting details, and inspect saved workflows, including recorded steps that can inform automation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review activity from a specific day or time range
• Find recorded meeting remarks and screen text
• Search work history on another synced device

Prepare a short brief for an upcoming meeting by confirming the event and participants, reviewing relevant Screenpipe history, and summarizing prior commitments, unresolved decisions, likely purpose, and two useful questions with supporting links.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing commitments before a follow-up meeting
• Preparing questions from unresolved decisions
• Checking prior context for specific participants

Add or modify Tauri commands in the screenpipe desktop app and regenerate TypeScript bindings, the code connecting frontend calls to Rust handlers. Follow the required annotations and checks to keep both sides consistent.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Adding a command to the desktop app
• Updating Rust types exposed to the frontend
• Regenerating TypeScript bindings after changes

Edit Screenpipe walkthrough videos built from screenshots and narration while preserving the original procedure. Adjust wording, titles, pacing, and visual focus, then render an updated video when requested.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Shortening narration while keeping required steps
• Replacing specified wording in a video
• Adjusting screenshot zoom and pacing

Resume interrupted work by reviewing recent Screenpipe activity and checking the current state of relevant files, jobs, or services. Recover the last verified result, identify unfinished steps, and avoid repeating actions that may already have completed.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Resume a project after an interruption
• Recover the last verified result and unfinished step
• Check whether a pending job or service operation finished

Learn Apache Beam's core concepts through Java and Python examples. Understand distributed datasets, processing steps, pipeline execution, and time windows, with guidance on aggregation, late data, error handling, and sharing processing steps across languages.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Learn how Pipeline, PCollection, and PTransform fit together
• Understand grouping, aggregation, merging, and splitting
• Study time windows, output timing, and late data

CI/CD is the backbone of modern software delivery. Continuous Integration catches bugs early. Continuous Deployment gets features to users fast. But poorly designed pipelines can be slow, flaky, and a source of constant frustration. This skill covers GitHub Actions (the most popular), GitLab CI, and general pipeline design principles. The focus is on pipelines that are fast, reliable, and maintainable. 2025 reality: Your pipeline is infrastructure code. It deserves the same care as your application. A flaky test in CI is worse than no test - it teaches developers to ignore failures. Use when "github actions, gitlab ci, ci cd, pipeline, workflow, deploy automation, continuous integration, continuous deployment, build pipeline, yaml workflow, ci-cd, github-actions, gitlab-ci, devops, automation, deployment, pipelines" mentioned.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Write a data pipeline design document. Use when the user says "pipeline design doc", "document this pipeline", "pipeline architecture doc", "data flow document", "how does this pipeline work", "design doc for ETL", "pipeline spec", or needs to capture the architecture, data flow, and operational details of a data pipeline - even if they don't explicitly say "design doc".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Use when working with Aws Codepipeline — aWS CodePipeline CI/CD pipeline management and execution analysis. Covers pipeline inventory, stage and action status, execution history, pipeline triggers, artifact stores, and action type configurations. Use when inspecting pipeline health, debugging failed stages, reviewing execution history, or auditing pipeline configurations.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

Analyze a chosen period of Screenpipe work history to find repeated research tasks, match them with existing skills, and prepare new skill drafts or combinations of existing skills for review.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Find repeated tasks in recent work history
• Identify workflows existing skills do not cover
• Draft a skill from a recurring workflow

Prepare screenpipe component releases by updating versions and dependency lock files, running required build checks, and triggering GitHub Actions. Verify build results and release artifacts, then hand public app publication over to a person.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Preparing a desktop app release
• Checking whether Rust changes require a CLI release
• Updating MCP versions and checking publication

Draft a project status report against stated milestones using recent Screenpipe activity and verified outcomes. Separate work performed from delivered and accepted results, summarize blockers and next actions, and cite dated sources with verification limits.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Drafting a project report against stated milestones
• Checking delivery claims against current records
• Summarizing blockers and the next decision

Create and run KubeSphere DevOps pipelines connected to Jenkins to automate builds and tests. Covers branch-specific workflows, required input parameters, private repository credentials, execution monitoring, logs, and downloading build output files.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Create a pipeline that builds and tests a Go application
• Run builds for individual repository branches
• Configure credentials for a private repository

Assess security weaknesses in CI/CD systems that automate software builds and delivery. Covering GitHub Actions, Jenkins, GitLab CI, and Azure DevOps, the skill examines unsafe inputs, excessive permissions, exposed credentials, and tampered build outputs, alongside detection and defensive controls.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Reviewing workflow inputs and execution triggers
• Assessing pipeline permissions and credential exposure
• Checking build artifact handoffs for tampering risks