125 skills (repositories by apache) · sorted by popularity
Develop and verify changes to Apache Beam's Python SDK. Set up a virtual environment, run tests, build installable packages or containers, and run data processing pipelines with the modified SDK.
Develop and troubleshoot Apache Beam's YAML SDK. Understand its source files, run data processing pipelines locally or on Dataflow, test changes, and investigate provider issues or mismatched record fields.
Build and test Apache Beam with Gradle, the system that manages its project tasks. Find relevant configuration files, inspect library dependencies, run formatting checks, publish locally, and investigate build failures.
Checks whether an Apache Hudi table's table services (compaction, cleaning, archival, savepoints) are keeping up with ingestion, by running the HoodieTableHealthChecker utility and interpreting its JSON report. Invoke when a user asks whether a Hudi table is healthy, whether compaction or cleaning is falling behind, why the active timeline keeps growing, or what to do about a savepoint blocking archival.
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Interactive Apache Hudi table design advisor. Turns workload requirements into architecture guidance and an Architecture Decision Record through a tiered conversational flow, with configuration bundles on implemented executable routes. Invoke when a user wants help designing a new Hudi table or evaluating an existing design.
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Migrates a Java project from FastExcel 1.3 (cn.idev.excel:fastexcel:1.3.0) to Apache Fesod (org.apache.fesod:fesod-sheet:2.0.1-incubating). Invoke this skill when asked to "migrate FastExcel to Fesod", "upgrade to Apache Fesod", or "replace cn.idev.excel". FastExcel 1.3 is the direct predecessor of Apache Fesod. Supports both legacy namespaces seen in real projects: cn.idev.excel.* and org.apache.fesod.excel.*. The entry classes FastExcel and FastExcelFactory are kept as @Deprecated aliases in Fesod, so call-site renames are strongly recommended but NOT required for compilation. The only breaking change is the Java package prefix.
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Review Apache Pinot performance when hot paths change or a PR makes benchmark or efficiency claims.
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Review Apache Pinot regression coverage and test quality when behavior or tests change.
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Compare baseline and current Pinot JMH benchmark results using an isolated baseline worktree.
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Investigate intermittent Pinot test failures in GitHub Actions and report evidence and likely causes.
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Review Apache Pinot correctness when null handling, numeric types, dispatch, or resource lifecycles change.
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Review Apache Pinot architecture when module dependencies, SPI boundaries, abstractions, or class placement change.
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Validate and fix Pinot pre-commit checks on affected modules before a commit or PR.
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Review Apache Pinot naming and API conventions when public names, signatures, or documentation change.
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Run a named Pinot test class or method in its owning Maven module.
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Review Apache Pinot change scope and process when assessing PR descriptions, reverts, retries, or compatibility notes.
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Review Apache Pinot compatibility when configs, public APIs, SPI contracts, or serialized formats change.
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Start and verify a local Pinot quickstart using the modes supported by the current checkout.
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Review Apache Pinot concurrency and state safety when locks, shared callbacks, lifecycle, or distributed metadata change.
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Execute and verify Apache OpenDAL release-manager work, including weekly ATR candidates, RC tagging, required GitHub Actions checks, ASF SVN dist uploads, Nexus staging close/release, vote discussions, language package readiness, GitHub release, announcements, and release postmortems.
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Update/publish the Apache Tika website (tika-site SVN repo) for a release — step 17 of the Release Process. Handles the 4.x track (Changes page + aggregate javadoc + Antora docs branch) vs the 3.x maintenance track (full per-version apt docs + javadoc). Use for "update the site", "publish the site for X.Y.Z", "the website part of the release".
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Examine what a file claims about itself and what it actually contains — powered by Apache Tika. True content-based type detection (extensions lie), provenance claims (authors, dates, creating application), revision and tamper signals (PDF incremental updates, tracked changes, hidden slides, zip integrity), hidden and embedded content (attachments, macros), risk indicators (PDF JavaScript actions, encryption), and content digests. Evidence gathering, not verdicts: Tika reports what the file asserts and what parsing observed; it does not attribute authorship or validate signatures. Use for triaging suspicious files, provenance questions, e-discovery-style review, or "is this file what it claims to be."
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Turn almost any file into Markdown plus metadata — PDF, Office, HTML, email, archives, images, audio/video, 1000+ formats — powered by Apache Tika, either via the tika-app CLI (zero setup, one file) or a running tika-server (curl, warm process, many calls). Leads with rmeta (structured, embedded-item-aware output) as the default operation rather than flat concatenated text, since you can't tell whether a file has embedded content from its extension. Covers metadata-only triage, type and language detection, OCR, and output-size discipline for agent context. Use whenever a task involves reading the content of a file whose format you don't want to hand-parse.
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Run Tika's OSS-Fuzz Jazzer targets locally against a working-tree checkout — build the image, build fuzzers from local source, fuzz a target, run a corpus as a regression pass, reproduce a crash, and add seeds. Use for "fuzz the OneNote parser", "run OneNoteParserFuzzer against these files", "reproduce an OSS-Fuzz crash", "fuzz my branch before merge".
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