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Claude Skills by xberg-io
github.com/xberg-io68 skills2 installs69 views
- Alef Generated BindingsAlef-managed generated bindings in packages/* and binding crates — the regeneration workflow (task alef:generate / alef:verify), the alef.toml section layout, the core-side edits that break a regen, and the FFI bridge's JSON marshalling requirement. Load before editing anything under packages/* or a binding crate, before adding a trait method or extractor, or when regenerating or verifying Alef output.Votes: 0GitHub stars: 9,365
- Api Server McpREST API server and MCP protocol integrationVotes: 0GitHub stars: 9,365
- Benchmark WorkflowRun, diagnose, or change Xberg extraction benchmarks, quality scoring, benchmark fixtures, artifact contracts, and independently sourced ground truth. Load for the Benchmarks workflow or benchmark-harness work, not ordinary unit tests.Votes: 0GitHub stars: 9,365
- Chunking EmbeddingsChunking, embeddings, and RAG pipeline integrationVotes: 0GitHub stars: 9,365
- Config Loading PrecedenceHow Xberg resolves configuration — CLI-mode and server/MCP-mode precedence orders, project config walk-up, user config fallback, field-level inline JSON merge (merge_json_into_config), the ExtractionOverrides CLI layer, and the two mechanisms that make a config change silently do nothing. Load when adding a config flag or env var, changing config precedence, or debugging why a setting is or isn't taking effect.Votes: 0GitHub stars: 9,365
- Crate StructureThe Xberg workspace layout — the version source of truth (root Cargo.toml [workspace.package] version), the 19 workspace members and 3 excluded crates, the distribution packages under packages/, the tools/ directory, and the ignore-file allowlists a new workspace member must be added to. Load when navigating the repo, deciding where code belongs, or wiring a new crate or binding package.Votes: 0GitHub stars: 9,365
- Extraction Pipeline PatternsChange or diagnose Xberg's core extraction orchestration, cache semantics, extractor fallback, post-processing, concurrency defaults, or format-wide quality invariants. Load for pipeline work, not a single parser's syntax.Votes: 0GitHub stars: 9,365
- Feature Flag PolicyCargo feature flags for crates/xberg — ORT-incompatible targets (WASM, Android x86_64 emulator), type-only and tract inference companion features, WASM/Android-safe variants, PDF backend, mutually-exclusive ORT variants, platform-conditional deps, aggregate feature sets, and build profiles. Load when adding, wiring, or debugging a Cargo feature, or when reasoning about what compiles on WASM/Android/Windows/macOS-intel targets.Votes: 0GitHub stars: 9,365
- Format Specific ExtractionFormat-specific document extraction workflowsVotes: 0GitHub stars: 9,365
- Mime Detection RoutingMIME type detection and extractor routing in core/mime.rs — the FORMATS registry that EXT_TO_MIME and SUPPORTED_MIME_TYPES are derived from, the path-based and bytes-based detection functions, priority-based registry selection, wildcard MIME families, and the real procedure for adding a format. Load when adding a format, wiring an extractor to a MIME type, or debugging why a file routes to the wrong (or no) extractor.Votes: 0GitHub stars: 9,365
- Ocr Pipeline And QualityChange or evaluate Xberg OCR backends, preprocessing, caching, page acceptance, geometry, hOCR structure, table reconstruction, or cross-backend quality. Load for OCR behavior and A/B quality work, not ordinary PDF text extraction.Votes: 0GitHub stars: 9,365
- Pdf BackendsChange or diagnose Xberg PDF extraction, native/Pdfium backend selection, PDF rendering sessions, encrypted documents, OCR fallback, or backend-specific capability gaps. Load for PDF engine work, not generic image OCR.Votes: 0GitHub stars: 9,365
- Plugin Architecture PatternsDesign, implement, or diagnose Xberg plugin traits, typed registries, priority collisions, lifecycle, native extractors, and Alef-generated Python plugin bridges. Load for plugin-system work, not ordinary extractor parsing.Votes: 0GitHub stars: 9,365
- Polyrepo BoundariesDecide which xberg-io repository owns a cross-repository fix or API, and coordinate compatible changes across Xberg, Alef, enterprise, crawler, LLM, and OCR repositories. Load when work spans sibling repos; do not use for a self-contained Xberg edit.Votes: 0GitHub stars: 9,365
- Release ReadinessAudit Xberg before a push or release by reconciling CI, Publish Release dry-run, Benchmarks, generated freshness, changelog, and remote branch state. Load for release-readiness work, not routine local commits.Votes: 0GitHub stars: 9,365
- Release VersioningHow xberg versions are synced and released — Cargo.toml is the single source of truth, `task version:sync` propagates it to alef-managed binding manifests AND the integrations under integrations/, which are versioned and published in lockstep with core (including -rc.N). Load before bumping a version, editing the version-sync task, or touching an integration's version/xberg dependency.Votes: 0GitHub stars: 9,365
- Test CorpusThe test_documents submodule is a bucket-fetched fixture corpus that is not committed. This skill covers read_test_fixture, missing fixtures, valid A/B controls, and submodule push order. Load before running Rust tests on a fresh clone, setting up an A/B control, adding a fixture-backed test, or diagnosing missing-fixture failures.Votes: 0GitHub stars: 9,365
- Wasm ConstraintsWASM build constraints for the crates/xberg-wasm crate — the wasm-target feature set, no-tokio sync-only internal APIs, the crate-private SyncExtractor trait, the 2 MB HTML size limit, size-optimized build config (opt-level="z"), and the async-wrapper/sync-internal API pattern. Load when building for wasm32, adding or modifying a WASM-compatible extractor, or debugging WASM build/runtime failures.Votes: 0GitHub stars: 9,365
- Xberg Typescript ToolchainWork on Xberg TypeScript or JavaScript packages with the repository's actual poly, pnpm, npm, Vitest, napi-rs, wasm-pack, and integration-package boundaries. Load for TS/JS tooling or package changes, not Rust-only binding generation.Votes: 0GitHub stars: 9,365
- Batch ExtractionUse when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout.Votes: 0GitHub stars: 9,365
- ChunkingUse when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.Votes: 0GitHub stars: 9,365
- Extracting KeywordsUse when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed` command with real flags.Votes: 0GitHub stars: 9,365
- Extracting TablesUse when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.Votes: 0GitHub stars: 9,365
- Extracting With OcrUse when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.Votes: 0GitHub stars: 9,365
- Picking A FormatUse when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.Votes: 0GitHub stars: 9,365
- XbergExtract text, tables, metadata, and images from 107 document formats (PDF, Office, images, HTML, email, archives, academic) using Xberg. Use when writing code that calls Xberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output format), batch processing, error handling, and plugins.Votes: 0GitHub stars: 9,365
- Batch ExtractionUse when extracting from many files at once with shared config, bounded parallelism, per-file overrides, and error recovery. Covers the `batch` command, `--file-configs`, `--max-concurrent`, and output layout.Votes: 0GitHub stars: 9,365
- ChunkingUse when splitting extracted text into chunks for LLM context windows or RAG ingestion. Covers chunk size, overlap, markdown/yaml/semantic chunkers, tokenizer-based sizing, and the standalone `chunk` command.Votes: 0GitHub stars: 9,365
- Extracting KeywordsUse when extracting keywords (YAKE/RAKE) from documents — and, secondarily, when detecting document language or generating embeddings for RAG and search. Covers the keyword config (and its feature gating), `--detect-language`, and the standalone `embed` command with real flags.Votes: 0GitHub stars: 9,365
- Extracting TablesUse when extracting tabular data from PDFs, spreadsheets, or images. Covers layout-aware table detection, table model selection, output formats (markdown / JSON cells), and known limits.Votes: 0GitHub stars: 9,365
- Extracting With OcrUse when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.Votes: 0GitHub stars: 9,365
- Picking A FormatUse when choosing an output format for extracted documents — plain text, markdown, djot, HTML, JSON, or DocTags. Maps consumer (LLM, parser, archive) to the right `--format` / `--content-format` pair.Votes: 0GitHub stars: 9,365
- XbergExtract text, tables, metadata, and images from 107 document formats (PDF, Office, images, HTML, email, archives, academic) using Xberg. Use when writing code that calls Xberg APIs in Python, Node.js/TypeScript, Rust, or CLI. Covers installation, extraction (sync/async), configuration (OCR, chunking, output format), batch processing, error handling, and plugins.Votes: 0GitHub stars: 9,365
- ApiUse liter-llm api reference documentation.Votes: 0GitHub stars: 260
- CliUse liter-llm cli reference documentation.Votes: 0GitHub stars: 260
- McpUse liter-llm mcp reference documentation.Votes: 0GitHub stars: 260
- Calling LlmsUse when sending chat completions through liter-llm and routing to a specific provider via the `provider/model` prefix. Covers the chat call shape, provider routing, model_hint, message roles, and error categories.Votes: 0GitHub stars: 260
- Embeddings And SearchUse when generating embeddings, calling the 12 web-search providers, or running OCR over documents with the 4 OCR providers through liter-llm. Covers embed, search, and ocr methods plus reranking.Votes: 0GitHub stars: 260
- Liter LlmUniversal LLM API client for 174 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, WASM, or C, when running the OpenAI-compatible proxy, or when calling LLMs through the MCP server. Covers chat, streaming, tool calling, embeddings, image generation, speech, transcription, moderation, web search, OCR, reranking, provider routing, middleware, and configuration.Votes: 0GitHub stars: 260
- Running The ProxyUse when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML config and the 22 REST endpoints.Votes: 0GitHub stars: 260
- Streaming ResponsesUse when streaming tokens incrementally from an LLM via liter-llm over SSE or async iterators. Covers chat_stream, delta handling, and null-content chunks.Votes: 0GitHub stars: 260
- Tool CallingUse when defining functions/tools for an LLM to call through liter-llm, or requesting structured JSON outputs. Covers tool schemas, tool_calls handling, and response formats.Votes: 0GitHub stars: 260
- Using The Mcp ServerUse when calling LLM APIs through the liter-llm MCP server's 22 tools, and to decide when MCP beats the CLI or SDK. Covers the tool surface, the auto-installing launcher, and authentication.Votes: 0GitHub stars: 260
- Calling LlmsUse when sending chat completions through liter-llm and routing to a specific provider via the `provider/model` prefix. Covers the chat call shape, provider routing, model_hint, message roles, and error categories.Votes: 0GitHub stars: 260
- Embeddings And SearchUse when generating embeddings, calling the 12 web-search providers, or running OCR over documents with the 4 OCR providers through liter-llm. Covers embed, search, and ocr methods plus reranking.Votes: 0GitHub stars: 260
- Liter LlmUniversal LLM API client for 174 providers with native bindings for 14 languages. Use when writing code that calls LLM APIs via liter-llm in Python, TypeScript, Rust, Go, Java, C#, Ruby, PHP, Elixir, WASM, or C, when running the OpenAI-compatible proxy, or when calling LLMs through the MCP server. Covers chat, streaming, tool calling, embeddings, image generation, speech, transcription, moderation, web search, OCR, reranking, provider routing, middleware, and configuration.Votes: 0GitHub stars: 260
- Running The ProxyUse when running the `liter-llm api` OpenAI-compatible gateway — virtual keys, per-key rate limits, budgets, cost tracking, and model routing. Covers the TOML config and the 22 REST endpoints.Votes: 0GitHub stars: 260
- Streaming ResponsesUse when streaming tokens incrementally from an LLM via liter-llm over SSE or async iterators. Covers chat_stream, delta handling, and null-content chunks.Votes: 0GitHub stars: 260
- Tool CallingUse when defining functions/tools for an LLM to call through liter-llm, or requesting structured JSON outputs. Covers tool schemas, tool_calls handling, and response formats.Votes: 0GitHub stars: 260
- Using The Mcp ServerUse when calling LLM APIs through the liter-llm MCP server's 22 tools, and to decide when MCP beats the CLI or SDK. Covers the tool surface, the auto-installing launcher, and authentication.Votes: 0GitHub stars: 260