Skip to content
Documentation
Skill

/okf-principles

Restructure agent instruction artifacts (Claude Agent Skills, rules files, CLAUDE.md, playbooks) by applying five structural principles derived from the Open Knowledge Format - bounding the worst-case context a question loads (the mean may rise; the win is the tail and answer

From plugin
serradura-okf
1813 skills1 command

Claude Code

$ npx -y skills add serradura/okf --skill okf-principles --agent claude-code

SKILL.md

okf-principles.SKILL.md
name: okf-principles
description: Restructure agent instruction artifacts (Claude Agent Skills, rules files, CLAUDE.md, playbooks) by applying five structural principles derived from the Open Knowledge Format - bounding the worst-case context a question loads (the mean may rise; the win is the tail and answer accuracy) and making cross-references survive rewrites. Use this skill whenever the user wants to split a monolithic skill or reference file, reduce context loaded per question, add an index layer, make cross-references survive rewrites, or audit a skill's structure for efficiency. Also use it when the user mentions progressive disclosure, token-efficient skills, or restructuring instructions for agents.

okf-principles

Restructures instruction artifacts so an agent loads only what a question needs. The measured payoff is the tail, not the average: a split bounds the worst-case context per question and removes the cheap confident wrong answers blind scrolling produces - mean bytes may rise slightly, and that is not a failure. This file is the index: read the one principle file the task calls for, not all five.

The five principles

  • [Index first](references/index-first.md) - the reader decides what to

load, so structure must be inspectable before it is consumed. Read when splitting a monolith, writing an index, or indexing a vendored or generated file you cannot edit.

  • [Keyed identity](references/keyed-identity.md) - references are keyed,

never positional, because agents rewrite. Read when adding rule IDs or fixing cross-references before a file move.

  • [Permissive reading](references/permissive-reading.md) - partial

structure must still work. Read when writing reader-side instructions or migrating incrementally.

  • [No tooling required](references/no-tooling.md) - plain text that

survives being read as prose. Read when tempted to add a format, schema, or parser.

  • [Kind over location](references/kind-over-location.md) - a file

declares what it is; folders are free to change. Read when organizing directories or labeling index entries.

Procedure for restructuring an existing skill

1. Inventory: list every file, its line count, and what questions it answers. A file answering unrelated questions is a split candidate. Mark any file that is vendored, generated, or third-party: those are never split - they get an index beside them instead (see rule ss-index-beside-foreign). 2. Split along question boundaries, not size. Each resulting file should answer one family of questions (per verb, per workflow, per format). 3. Write the index per [index-first](references/index-first.md). Every entry needs a description an agent can route on, and coverage must match the index's claim - especially for an index promoted from inside a file, which inherits its old host's narrower scope silently (rule ss-coverage-matches-claim). 4. Key every rule worth citing per [keyed-identity](references/keyed-identity.md), then repoint existing cross-references at keys instead of paths and section names. 5. Add reader guidance per [permissive-reading](references/permissive-reading.md) so a half migrated state stays usable. 6. Verify against the anti-goal with a fixed question set, judging the worst question rather than the mean (rule ss-measure-worst-case): one that loads more files or bytes than before names the boundary to merge back. Where a topic moved between files, leave a pointer at the old seam (rule ss-seam-pointers).

Anti-goals

Do not port machine-oriented metadata (trust tiers, provenance chains, attestation, changelogs) into a skill. Those solve multi-agent corpus problems; a skill has one author and lives in version control. Do not add frontmatter keys beyond what the host harness defines unless a machine must read them; prefer expressing structure in the index body, which no harness parses. <!-- rule: ss-no-ceremony -->

Read more
@serradura
Ships withserradura-okf

OKF (Open Knowledge Format): Durable, structured memory for AI agents. Author, validate, consume, and maintain portable knowledge bundles through an ecosystem of Skills, MCP, an interactive graph, TUI, CLI, Docker, and a Claude Code plugin. 100% local.

Stars on GitHub

Momentum

stars in total
181
Star history of serradura/okf-gem on GitHub, a chart by star-history.com

Other skills on serradura-okf.

okf-pro

okf-pro

Operating rules for the .okf/ knowledge bundle — filing new concepts, the board, the journal, the daily snapshot, closing work,…

okf

okf

Be the expert on Open Knowledge Format (OKF) — portable project knowledge as a directory of markdown files with YAML frontmatter…

More skills from other plugins.

context7-cli

context7-cli

Use the ctx7 CLI to fetch library documentation and configure Context7 MCP. Activate when the user mentions "ctx7" or "context7",…

context712d64k
@upstash@upstashInstall Skill
docs-components

docs-components

Comprehensive MDX component patterns (Note, Pitfall, DeepDive, Recipes, etc.) for all documentation types. Authoritative source…

@reactjs@reactjsInstall Skill
codebase-wiki

codebase-wiki

How to work in a Codebase Wiki project (the `codebase-wiki` starter pack): an agent-authored, source-grounded wiki of the…

@inkeep@inkeepInstall Skill

Questions about okf-principles.

Which coding agents can use okf-principles?
okf-principles installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.