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SkillsMP has collected 14 skills from vamseeachanta/raw-to-knowledge-playbook. Open a skill to review its source and details.
Showing 14 of 14 collected skills.
Runs the right deterministic extraction lane per office/email format and records each format's KNOWN losses UNDER A TEXT/CSV LANE in a coverage ledger so a faithful extract never masquerades as complete. Use when extracting docx/xlsx/msg/pdf/pptx sources…
Classifies XLS/XLSX workbooks before extraction and requires a traceable input data or logic contract, code artifact, and verified output artifact for a ten-file canary. Use when spreadsheet files may contain formulas, named ranges, charts, cached values,…
Triages a raw company archive into an ingest set by classifying on content (not extension), value-ranking candidates, deduping superseded versions, and hard EXCLUDING PII and third-party-confidential material before any extraction. Use when starting an…
Enforces the structural contract for a knowledge-store page — layered input/output split, provenance frontmatter, trust labels on every value-bearing artifact, and the public/private abstraction gate. Use when creating or reviewing any wiki/knowledge page…
Enforces the firewall between a public knowledge store and per-client private stores by checking declared visibility, abstracting client/project identifiers by default, and running an independent publish-time grep against a maintained identifier list. Use…
Independently reviews a batch of source-extract reference pages against the source binary so that no prose claims more than the committed extract supports — checking hash match, extract fidelity, and that every quoted figure traces to a committed extract with…
Runs doc-type-aware deterministic extraction on a source and makes shallow extraction visible by recording an extraction_estimate before and an extraction_yield after, flagging any source whose yield falls short. Use when ingesting a new source file…
Runs an independent adversarial verification loop on a produced change (extraction code, corpus batch, or page set) until a clean PASS — the producer never self-certifies, the reviewer is prompted to refute and to build runnable reproducers for code findings,…
Scores committed extracts against an independent extraction engine (a different codebase than the pipeline lane) to produce measured per-lane precision/recall, with two-tier numeric scoring and a hard rule that every sub-1.0 number is attributed to a named…
Ships an ingestion campaign as one PR per batch on STACKED branches (each off the prior tip) to avoid conflicts on shared files like an auto-generated index, and guards the merge-cascade hazard where a top stacked PR merges into an already- merged…
Vision-verifies the next batch of auto-extracted tables against rendered page images and writes closed-set verdicts with binary-faithful queue I/O, one PR per batch. Use when promoting provisional table extractions to a trusted (verified) state, correcting…
Extracts a compressed archive (RAR/ZIP/7z) and then proves the extraction is byte-faithful by re-hashing every extracted file against the container's stored per-entry checksums — because an open-source decoder can report success while silently writing wrong…
Fetches the real bytes behind off-disk Git LFS pointer files via the LFS Batch API when git-lfs and sudo are unavailable, using a host token, and verifies the download because the content sha256 IS the pointer oid. Use when a source binary in a Git repo is a…
Maintains an anchored-text feedback inbox for a knowledge store where every item attaches to an exact text anchor, carries an explicit resolution state, and is never silently deleted. Use when collecting, triaging, or resolving review feedback on extracted or…