'tracking' 검색 결과

Collect posts from X profiles by username, choosing regular posts, posts with replies, or media posts. Receive structured text, author details, engagement counts, and media information for account research and content tracking.

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• Research posts from competitor accounts
• Collect a creator’s posting history
• Gather posts that include photos or videos

Collect details from Taobao and Tmall product pages using a product ID. Gather titles, displayed prices, shop information, images, variant options, and attributes to build product records or compare items for research.

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• Building product records from product IDs
• Comparing product attributes and shop information
• Checking available colors and sizes

Extract product names, prices, shipping details, and seller ratings from eBay search or category pages. Collect listings across multiple pages and regional eBay sites to prepare data for price comparisons and listing research.

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• Comparing prices for products listed on eBay
• Researching competing sellers and their listings
• Collecting listings across multiple category pages

Find third-party mentions of Claude Code Ultimate Guide or its author's public projects. Verify evidence, remove duplicate sources, and report mentions by type, then update the relevant tracking catalog after explicit approval.

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• Finding articles and social posts mentioning the guide
• Separating verified mentions from uncertain candidates
• Tracking coverage across the author's public projects

Push the current Git branch and get a link to its GitLab CI or GitHub Actions runs. The workflow checks for uncommitted changes and blocks direct pushes to main, master, and production before proceeding.

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• Pushing a committed feature branch
• Finding the GitLab CI tracking link after a push
• Finding GitHub Actions runs for the current branch

Keeps multi-step work organized with Markdown files for the plan, research notes, and final deliverable. Tracks completed phases, decisions, and errors so the agent can revisit goals and resume work with durable records.

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• Tracking progress through a multi-step task
• Keeping research findings and sources on disk
• Resuming work after a pause

Coordinate work across independent Squad installations by discovering their capabilities and delegating tasks across repositories. It guides context sharing, acceptance criteria, and progress tracking, while distinguishing persistent Squad teams from temporary groups of agents.

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• Finding another Squad with the capabilities a task requires
• Handing off work for features that span repositories
• Tracking delegated infrastructure or support requests

Organize complex tasks using persistent Markdown files for plans, research notes, and final deliverables. Track completed phases, decisions, and errors, and revisit the plan before major actions to keep work aligned with its goal.

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• Planning a task with multiple stages
• Organizing research findings and sources
• Recording progress, decisions, and errors

Prepare academic papers for journal submission by checking manuscripts and figures, adapting journal formatting, drafting cover letters and responses to reviewers, and tracking revisions through resubmission with a structured response table.

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• Checking a manuscript before its first journal submission
• Adapting paper formatting for a specific journal
• Drafting point-by-point responses to reviewers

Tailors resumes to a target job description by checking keyword coverage, rewriting experience around context, actions, and measurable results, and reviewing compatibility with applicant tracking systems, software used to process applications. Outputs recommendations and revised resume text.

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• Tailoring a resume to a specific job opening
• Checking missing keywords against a job description
• Rewriting experience with measurable results

Manage GitHub issues, synchronize project boards, and plan sprints, short development cycles. Coordinate multiple AI agents to break work into tasks, assign responsibilities, update progress, and produce reports on completion and blockers.

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• Sorting and prioritizing incoming GitHub issues
• Splitting large issues among AI agents
• Synchronizing task progress with project boards

Carry out a written implementation plan in a separate session, reviewing it before starting and tracking each task through verification. The workflow pauses for blockers and hands completed work to a development branch finishing process.

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• Executing a written implementation plan
• Tracking task progress and verification
• Reviewing gaps before implementation

Audit and analyze connected Reddit Ads accounts through NotFair MCP, a connection for agent access. Review performance, spending, conversions, audiences, tracking pixels, creative, budgets, and bids, and handle campaign setup or approved account changes.

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• Analyzing campaign and ad-group spending and conversions
• Reviewing targeting and audiences
• Checking tracking pixels and ad creative

Consult Agentica APIs when building workflows where multiple AI agents cooperate. This reference covers eleven coordination patterns, agent tracking, shared state, handoffs, and ways to combine results, with pointers to detailed API specifications.

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• Choose a coordination pattern for multiple agents
• Check pattern constructors and methods
• Implement custom coordination patterns

Collect updates from selected blogs, media outlets, and newsletters through RSS or Atom feeds. Filter entries by keyword and date, remove duplicates, and produce a chronological digest with links for tracking news or finding article ideas.

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• Tracking updates from favorite blogs
• Collecting recent articles on a specific topic
• Preparing daily or weekly news digests

Golang everyday observability — the always-on signals in production. Covers structured logging with slog, Prometheus metrics, OpenTelemetry distributed tracing, continuous profiling with pprof/Pyroscope, server-side RUM event tracking, alerting, and Grafana dashboards. Apply when instrumenting Go services for production monitoring, setting up metrics or alerting, adding OpenTelemetry tracing, correlating logs with traces, migrating legacy loggers (zap/logrus/zerolog) to slog, adding observability to new features, or implementing GDPR/CCPA-compliant tracking with Customer Data Platforms (CDP). Not for temporary deep-dive performance investigation (→ See `samber/cc-skills-golang@golang-benchmark` and `samber/cc-skills-golang@golang-performance` skills).

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Azure Weights & Biases SDK for .NET. ML experiment tracking and model management via Azure Marketplace. Use for creating W&B instances, managing SSO, marketplace integration, and ML observability. Triggers: "Weights and Biases", "W&B", "WeightsAndBiases", "ML experiment tracking", "model registry", "experiment management", "wandb".

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Track bacterial strains using MASH, sourmash, fastANI, and inStrain. Compare genomes, detect contamination, and monitor strain-level variation. Use when needing sub-species resolution for outbreak tracking, transmission analysis, or within-host strain dynamics.

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Use when the user asks to "QA my conversion tracking before launch", "check my UTMs / pixel / event firing", "set up a tracking pre-flight", or "set the dedup rule so Meta and Google stop double-counting"; builds and fixes the measurement plumbing — conversion-event firing, UTM hygiene, cross-platform dedup rules, attribution-window alignment, and offline/iOS-ATT modeled-gap flags — as a pre-flight checklist plus a UTM/event-spec builder. Not for scoring R1/R2 — that is a scored veto in ad-account-auditor; not for account structure — use campaign-architect. 付费广告转化追踪QA/UTM规范/跨平台去重

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When the user wants to monitor competitor apps on an ongoing basis — tracking metadata changes, keyword shifts, screenshot updates, rating trends, or new features. Use when the user mentions "competitor monitoring", "track competitors", "competitor alert", "competitor changed their title", "watch a competitor app", "competitor weekly report", "competitive intelligence", or "what changed in competitor's listing". For a one-time deep competitive analysis, see competitor-analysis. For market-wide chart movements, see market-movers.

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Sets up, audits, and reports on marketing measurement — tracking plans, event schemas, attribution models, and the dashboards built on them. Use this to instrument a site or product, audit tracking nobody trusts, choose or interpret an attribution model, build reporting that answers a specific question, or reconcile numbers that disagree between tools.

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You are an error tracking and observability expert specializing in implementing comprehensive error monitoring solutions. Set up error tracking systems, configure alerts, implement structured logging, and ensure teams can quickly identify and resolve production issues.

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Generate a bounded task plan (and the agent prompt for it) that runs the 5-layer profiling methodology in .claude/skills/model-profiling/METHODOLOGY.md against one model, stops for human confirmation before any GPU work starts, then delegates the actual run to a background agent, verifies its completion claim, and routes findings into a gitignored .profiling-runs/<model>/ directory — durably tracked as a sub-issue under the tracking issue named in SKILL.md's "Result tracking" section — plus the methodology doc.

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Sets up QA testing processes: test strategies, Google Testing Standards test cases, P0-P4 bug tracking, quality metrics, progress reports, autonomous execution via master prompts, and OWASP security testing, with third-party QA handoff docs. Use when establishing QA infrastructure, writing test cases, executing test plans, or tracking bugs. Not for auditing an already-rendered UI (use frontend-visual-qa).

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