distilly

Distilly ensures atomic storage operations by writing to temp files and using os.replace for atomic renames. This guarantees readers see complete old or new versions, never partial writes.

Discover where Distilly stores local data and understand its directory structure. Learn about configuration files and skill metadata storage for efficient management.

Easily rollback to a previous Distilly version using the CLI or Python. Learn to restore skill states safely with automatic backups.

Learn how to reject a candidate version in Distilly. Understand automatic rejection triggers and security validation for safer path patterns.

Promote an approved candidate version in Distilly with a single command. Turn staged candidates into stable releases, validating approvals and updating manifests. Learn how.

Explore the Distilly candidate lifecycle for person profiles. Understand how created_at, updated_at, version, and status fields track and manage your persona artifacts automatically.

Learn how Distilly ensures legacy skill compatibility by mirroring old fields, resolving storage roots, and auto-generating metadata. Maintain your historic skill structures seamlessly.

Explore the Distilly Codex plugin lifecycle. Learn how install, discover, and invoke phases automatically load skills from ~/.agents/skills.

Discover the OpenClaw transport budget in Distilly. Learn to optimize costs or enable intensive research by choosing between budget-friendly and budget-unfriendly settings.

Discover the 8 verified coding agent hosts for Distilly support, including Claude Code, OpenClaw, and Codex. Find invocation commands in the SKILL.md file.

Find the Distilly parser registry at tools/skill_presets.py. Learn how CHARACTER_PRESETS maps character families to prompts and parsing behavior.

Distilly parses SRT and VTT subtitle files with a regex pipeline. Learn how it strips headers, removes timestamps, deduplicates lines, and formats readable paragraphs.