How to store your AI coding skills, prompts, agents and project rules locally
Reusable AI development knowledge tends to get buried in old repositories: a tuned SKILL.md, a prompt that finally produced good tests, a project-specific AGENTS.md, or a Cursor rule you wrote once and forgot. CodeSwissKnife gives those files a searchable local home.
Why store AI coding skills outside a single project?
AI-assisted development creates small pieces of reusable process. They are not always code, but they are valuable: review checklists, refactoring prompts, agent instructions, project rules, coding standards, test-generation patterns and migration notes.
The problem is retrieval. If the same skill is copied across five repositories, filenames stop being useful. If a prompt lives in a chat, it is hard to reuse. If a rule only exists in one project folder, the next project starts from memory instead of from the best version you already wrote.
What should go into a local AI development library?
CodeSwissKnife AI Developer Library is built around four document types: skills, prompts, agents and rules. Agents are stored as documents only. They are never executed by the app.
Skills
Reusable workflows such as API implementation, code review, SwiftUI feature building or migration checklists.
Prompts
Task instructions you want to reuse, tune and keep searchable without digging through chat history.
Agents
Agent instructions and role definitions stored as reference documents for your local workflow.
Project rules
Conventions from files such as AGENTS.md, CLAUDE.md, .cursorrules and Cursor .mdc rules.
Import from the folders where your work already lives
You can drag in files or scan folders. The library recognizes common AI-development conventions, including SKILL.md, AGENT.md, AGENTS.md, CLAUDE.md, .cursorrules, Cursor .mdc files and Markdown stored under common .claude, .codex, .cursor, skills, agents, prompts and rules folders.
When a file has YAML frontmatter, CodeSwissKnife reads the title, summary, tags and type. If those fields are missing, it infers sensible defaults while preserving the source content.
Before saving imported content, the app looks for likely private-key markers, authorization headers and credential-shaped values. It stores finding categories and line numbers, not secret values.
Make reuse fast: search, tags, favorites and deduplication
A useful library needs more than folders. CodeSwissKnife indexes titles, summaries, tags and full text so you can search by the problem you are solving, not only by filename.
- Use free-form tags to group by stack, language, workflow or client.
- Mark high-value entries as favorites so they stay easy to find.
- Sort by recently edited or recently used when you are iterating on a workflow.
- Duplicate an entry when you want to adapt a skill without overwriting the original.
Duplicate detection is based on normalized content rather than filename, so the same skill copied between repositories can be stored once instead of repeated under different paths.
Keep your AI workflow local
The AI Developer Library is a local library. It does not imply sync, cloud storage or account-based sharing. It is meant for the material you want close at hand on your Mac, especially project rules and internal prompts that should not be pasted into random web tools just to be organized.
That local-first model also makes it useful after the trial: the library remains yours. CodeSwissKnife is designed so development utilities and reusable AI workflow documents live beside each other, in one native macOS app.
Turn old project rules into a reusable library
Download CodeSwissKnife and point AI Developer Library at a project folder that already contains your skills, prompts, agents and rules.