open-dossier

Solid

Turn any project folder into a source-driven knowledge dossier that compounds over time — ingest documents into traceable analyses, a living wiki, plans, actions and decisions. Use this skill whenever the user wants to process source documents (reports, transcripts, emails, decks, papers) into structured knowledge; asks to "ingest", "process" or "verwerk" a document, even a bare filename with no other context; wants a knowledge base, wiki or "second brain" for a project or client engagement; wants plans and action items derived from documents and traceable to their source; wants an existing pile of notes, summaries or already-processed documents restructured into a traceable knowledge base with an audit trail of where each fact came from; asks what a dossier knows ("query the dossier", "what do we know about X"); wants a briefing or one-page current-state synthesis of a case or file, especially when they need established fact separated from assumption or open question; or asks for a health check of the knowle

Data & Documents 3 stars 0 forks Updated 5 days ago MIT

Install

View on GitHub

Quality Score: 79/100

Stars 20%
20
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Open Dossier A dossier is a folder that turns documents into decisions. It combines two ideas: 1. **The LLM wiki** (after Karpathy): instead of retrieving document chunks fresh on every question, the model maintains a persistent, compounding set of markdown pages. Each ingested source improves the whole; nothing is re-derived from scratch. 2. **Source-driven execution**: the goal is not to summarize documents but to extract what leads to a decision, a plan or an action — and to keep every claim traceable to where it came from. Humans curate sources and make decisions. You do the bookkeeping: conversion, analysis, cross-referencing, index maintenance, consistency checks. You do this reliably at near-zero cost, which is exactly why a dossier compounds where human-maintained wikis rot. ## The four layers | Layer | Contents | Who writes it | |---|---|---| | Sources | `sources/originals/` (immutable), `sources/converted/` (markdown) | Humans drop originals; you convert | | Knowledge | `sources/analyses/`, `wiki/` | You, from sources | | Execution | `plans/`, `actions.md`, `decisions.md`, `backlog.md` | You, traceable to sources or decisions | | Meta | `DOSSIER.md` (schema), `index.md` (catalog), `log.md` (journal), `briefing.md` (living synthesis) | You maintain; humans configure DOSSIER.md | Originals are never modified. Everything else is yours to keep correct. ## Traceability labels Every substantive statement in analyses, wiki pages, plans and the briefing carries on...

Details

Author
jpaarhuis
Repository
jpaarhuis/open-dossier
Created
1 weeks ago
Last Updated
5 days ago
Language
N/A
License
MIT

Bundled in these plugins

Similar Skills

Semantically similar based on skill content — not just same category

Data & Documents Listed

docforge

Design and generate a repository's documentation set — the docs/ tree, README and ARCHITECTURE, decision records (ADRs), a known-limitations register, a third-party dependency inventory, security policy, API error catalogs, data contracts and runbooks, AI-agent context files (AGENTS.md, CLAUDE.md, docs/agents/), plus audience overlays that speak to Business Analyst (BA) and Product Owner (PO) readers. Grounds every document in a knowledge-graph analysis of the actual source before writing, so nothing is invented, and stamps each document with git-hash provenance so staleness is decided by comparison, not by re-guessing. Host-neutral — works on any git host and never hardcodes one forge's paths, and checks for child repos (declared submodules or nested/vendored repos) before any multi-repo review. Use this skill whenever the user mentions documenting a repo or codebase, a docs folder, README or ARCHITECTURE files, ADRs or decision records, onboarding docs, runbooks, known limitations, dependency or licence inv

0 Updated today
jonaskahn
AI & Automation Listed

living-docs

Run a project's documentation as a living system — docs-first issues/PRDs, MADR-lite ADRs (supersede, never delete), Behavior Decision Records (BDRs), a project constitution, research artifacts, living Mermaid architecture diagrams, and semantic-index organization where every doc lands in exactly one place and indexes never drift. Use when setting up or maintaining project docs, writing an ADR/PRD/BDR/constitution/issue/research note, defining a term or acronym in the glossary, drawing or updating an architecture/flow/sequence diagram, splitting an oversized doc into an index, or enforcing the no-drift maintenance rule.

8 Updated 4 days ago
ejklock
AI & Automation Listed

lore

Persistent project knowledge base so a new session resumes from recorded state instead of re-reading the whole codebase. Sets up and maintains docs/lore/ (STATE, ROADMAP, DECISIONS, LEARNINGS, JOURNAL): current status, phased progress path, why decisions were made, what was tried and failed, and dead ends not to retry. Use when: starting a new project or scaffolding its docs; beginning a session on a project that has docs/lore/ and you need context; finishing a task, fixing a bug, or making an architectural choice and the outcome should be recorded; the user says continue/resume, asks what the state is, asks to record a decision or lesson, or asks why something was done a certain way.

6 Updated 1 weeks ago
sh008