Processament de dades
Transformació i anàlisi sintàctica de dades
config-evals
n8n-io
Builds and maintains configuration-based evaluations on a workflow with the eval-config tool. Use when the user asks to set up, add, view, change, or remove an evaluation, score, grade, or judge a workflow's output, or measure answer quality against a test dataset. This is the only eval form Instance AI handles — it does not touch on-canvas evaluation nodes.
meeting-insights-analyzer
ComposioHQ
Analyzes meeting transcripts and recordings to uncover behavioral patterns, communication insights, and actionable feedback. Identifies when you avoid conflict, use filler words, dominate conversations, or miss opportunities to listen. Perfect for professionals seeking to improve their communication and leadership skills.
invoice-organizer
ComposioHQ
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
shareAI-lab
Process PDF files - extract text, create PDFs, merge documents. Use when user asks to read PDF, create PDF, or work with PDF files.
obsidian-bases
kepano
Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.
ccxt-mcp
ccxt
Official CCXT MCP (Model Context Protocol) server — connect an AI agent to 100+ cryptocurrency exchanges and prediction markets for market data, balances, and opt-in trading. Covers installing the server in Claude Desktop/Code, Cursor, VS Code and other MCP hosts; configuring named accounts and API keys (kept local, never seen by the model); the capability tiers and safety rails; sandbox/testnet trading; and how to drive the tools. Use when the user wants an agent to fetch prices/order books/candles, check balances/orders/positions, place or cancel orders, or explore prediction markets across exchanges.
cpu-profile-analysis
microsoft
"Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-*.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating user timing marks."
troubleshoot
microsoft
Investigate unexpected behavior in the current Copilot agent session by analyzing its event log. Use when the user asks why something happened, why a request was slow, why a tool was or was not used, or why instructions/skills/agents did not load.
chat-perf
microsoft
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
heap-snapshot-analysis
microsoft
"Analyze V8 heap snapshots to investigate memory leaks and retention issues. Use when given .heapsnapshot files, asked to compare before/after snapshots, asked to find what retains objects, or investigating why objects survive GC. Provides snapshot parsing, comparison, retainer-path helpers, and scratchpad scripts."
compare-test-runs
tuist
Compares two test runs to identify new failures, newly flaky tests, fixed tests, and duration regressions. Can be invoked with test run IDs, dashboard URLs, or branch names.
compare-test-case
tuist
Compares a single test case's behavior across two branches, analyzing pass/fail status, duration, flakiness, and failure details. Useful for investigating test regressions introduced by a feature branch.
compare-builds
tuist
Compares two Xcode build runs to identify duration regressions, cache changes, and new issues. Can be invoked with build IDs, dashboard URLs, or branch names (e.g. tuist compare-builds --base main --head feature-branch).
adding-ingestion-warnings
PostHog
How to add a new ingestion warning type to the event ingestion pipeline. Use when emitting a new warning from nodejs ingestion code (emitIngestionWarning, captureIngestionWarning, pipeline warnings arrays, drop() with warnings), when adding a warning type, category, or severity, or when a typecheck error says a string is not assignable to IngestionWarningType. Covers the INGESTION_WARNING_TYPES registry (the single source of truth for type, category, and severity), the details-key conventions that ClickHouse v2 materializes into columns, debouncing, and the downstream surfaces to keep in sync (v1 UI map, resolving-ingestion-warnings skill, docs, v2 API).
exploring-llm-clusters
PostHog
'Investigate AI observability clusters — understand usage patterns in AI/LLM traffic, compare cluster behavior, compute cost/latency metrics, and drill into individual traces within clusters.'
downloading-batch-export-files
PostHog
Export PostHog events, persons, sessions, or the results of a HogQL query on demand and download the resulting files. Use when the user asks to download/export raw PostHog data, export HogQL query results, create a one-off file export, fetch a Parquet or JSONLines export, or use the file_download_batch_exports API. Covers starting the export with MCP, polling completion, and downloading via the existing REST redirect endpoint.
modeling-dimension-tables
PostHog
Build reusable dimension / lookup tables for a star schema — country/region, timezone, currency, date, plan/product, and other descriptive attributes — on either PostHog data-warehouse views (HogQL) or an external dbt project. Use when the user wants to model dimension tables, lookup tables, a star schema, conformed dimensions, or wants to enrich events/revenue/usage with country, region, timezone, plan, or currency attributes without repeating JOINs. Covers sourcing the dimension data (upload, warehouse source, or derive from events), shaping it into an aliased one-row-per-entity view (optionally materialized on a slow schedule since dimensions change rarely), and attaching it to facts via a saved or person join so its columns read as native fields. Key rule: for currency use the built-in convertCurrency() instead of a hand-rolled rate table. Read modeling-warehouse-foundations first; dimensions here are reused by the revenue, conversion, activation, and product-usage modeling skills.
webclaw
0xMassi
Web extraction engine with antibot bypass. Scrape, crawl, extract, summarize, search, map, diff, monitor, research, and analyze any URL — including Cloudflare-protected sites. Use when you need reliable web content, the built-in web_fetch fails, or you need structured data extraction from web pages.
openakita/skills@pdf
openakita
Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.
double-check-perf-tests
ClickHouse
Locally reproduce ClickHouse CI performance comparison results for a given commit. Fetches the perf CI report, identifies queries categorized as "Changes in Performance", downloads both the patched and reference binaries from S3 (matching the current machine architecture), and re-runs only those queries via tests/performance/scripts/perf.py to verify whether each regression/improvement is real. Use this whenever the user wants to "double-check", "reproduce", "verify locally", or "re-run" a perf check result — even if they don't name the skill.
close-flaky-issues
ClickHouse
Audit open "flaky test" GitHub issues and close those whose tests are no longer failing on master. Cross-references CI history from play.clickhouse.com with git log to attribute fixes.
perf-comparison
ClickHouse
Evaluate ClickHouse performance test results from existing CI/dashboard data or local perf.py runs. Use to check PR performance changes, run local performance tests, compare with history, assess flakiness, inspect coverage/PR relevance, and summarize whether a result is actionable.
fix-flaky-tests
tuist
Fixes flaky tests by analyzing failure patterns from Tuist test insights, identifying root causes, and applying targeted corrections. Can be invoked with a specific test case URL (e.g. https://tuist.dev/{account}/{project}/tests/test-cases/{id}) or without arguments to discover and fix all flaky tests in the project.
1k-pr-daily-report
OneKeyHQ
Generate a 24-hour PR activity report grouped by module with Chinese summaries. Use when the user asks for PR statistics, daily report, PR summary, or mentions "PR 统计", "每日报告", "PR 汇总", "日报".