Write and maintain skills, AGENTS.md files, agent instructions, and other documents consumed by AI agents with minimal context load and clear behavior.
Install
npx skillscat add ehuerta6/ai-setup/writing-for-agents Install via the SkillsCat registry.
Writing for agents
Write agent instructions for reliable execution, not for completeness as documentation.
Every instruction consumes attention.
Keep always-loaded context small and move conditional detail behind clear pointers.
Principles
Single source of truth
Keep each rule or workflow authoritative in one place.
Reference it elsewhere instead of copying it.
Duplication creates drift and gives repeated instructions accidental extra weight.
Context pointers
A pointer tells the agent:
- what information exists;
- when it should be loaded.
Example:
Use the database-change skill for schema, migration, RLS, or database authorization changes.
The trigger matters as much as the destination.
Progressive disclosure
Keep information at the lowest level that still makes it reliably available.
Prefer:
- short always-loaded pointer;
- focused skill or rule;
- deeper reference loaded only when needed.
Do not put an entire workflow in AGENTS.md when a pointer to a skill is enough.
Steps vs reference
Separate:
- actions the agent must perform;
- reference material it may consult.
Procedural workflows should have a clear sequence.
Reference rules should be grouped by concept.
Completion criteria
Important steps should define what "done" means.
Prefer observable criteria.
Weak:
Review the implementation carefully.
Better:
Inspect the complete diff and account for every changed file before finishing the review.
Positive instructions
Describe the desired behavior directly.
Prefer:
Make focused changes within the issue scope.
over long lists of hypothetical bad behaviors.
Use prohibitions for genuine hard guardrails.
Use the environment as truth
Do not duplicate information the agent can cheaply inspect from:
- package configuration;
- scripts;
- directory structure;
- CI;
- tool help;
- code.
Document the things the environment does not explain:
- intent;
- constraints;
- decisions;
- source precedence;
- known traps.
Writing skills
A good skill should contain:
- clear name;
- invocation description;
- purpose;
- ordered process when procedural;
- rules that materially change behavior;
- observable completion criteria.
A skill should own one coherent capability.
Split skills when they have independent triggers or substantially different workflows.
Do not split merely to make files shorter.
Writing AGENTS.md
Use AGENTS.md primarily for:
- source-of-truth pointers;
- important project-wide constraints;
- navigation to applicable skills or docs.
Avoid turning it into a complete engineering handbook.
Pruning
For every instruction ask:
- does this change agent behavior?
- does it belong here?
- does it duplicate another source?
- can the environment answer this instead?
- does every task need this in context?
Delete instructions that no longer earn their context cost.
Rules
- One authoritative home per behavior.
- Project-specific context stays in project repositories.
- Global rules should be broadly reusable.
- Prefer precise triggers over broad descriptions.
- Do not hide critical requirements behind weak optional wording.
- Do not repeat the same instruction across skills and rules.
Completion
Agent-facing writing is complete when:
- responsibilities are clear;
- triggers are clear;
- sources of truth are clear;
- conditional detail is loaded only when needed;
- completion can be evaluated;
- duplicated or stale instructions have been removed.