agentic-cli-design
Design principles for building CLI tools that LLM/AI agents can safely and reliably operate.
Skill by marcioaltoe
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/marcioaltoe-agentic-cli-design
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About
Use cases: design, ml, agent-building
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/agentic-cli-design
What's inside
- Skill name
agentic-cli-design- Description
- Design principles for building CLI tools that LLM/AI agents can safely and reliably operate. Provides 7 core principles (Machine-readable, Non-interactive, Idempotent, Safe-by-default, Observable, Context-efficient, Introspectable) with scorecard, templates, and anti-patterns. Use when: (1) designing new CLI tools for agent use, (2) improving existing CLIs for agent compatibility, (3) reviewing CLI design for agent-friendliness, or (4) need guidance on JSON output formats, exit codes, authentication flows, or self-describing CLI patterns.
- License
- MIT
- Instructions
- 247 lines in SKILL.md · view on GitHub
Files (5)
- SKILL.md
- anti-patterns.md · references/
- principles.md · references/
- scorecard.md · references/
- templates.md · references/
SKILL.md (first lines)
# Agentic CLI Design ## Overview **Agentic CLI Design** is a design philosophy that treats CLIs not as "tools for humans to operate in terminals," but as **protocols/APIs that LLMs/agents can safely, reliably, and repeatably invoke**. The success criteria is that agents can operate the CLI: - **Without confusion** (options are explicit) - **Without breaking things** (safe-by-default) - **Without getting stuck** (non-interactive, timeout/retry strategies) - **Repeatedly** (idempotent, re-execution tolerant) - **With self-healing** (observable, self-describing) This skill provides a comprehensive framework for designing and evaluating CLI tools for agent use. ## Core Definition **Agentic CLI Design** = _Design principles for CLIs that enable LLM/agents to execute commands safely and reliably in non-interactive, repetitive, failure-prone environments._ Rather than optimizing for human "feel," we optimize for **machines to read, decide, re-execute, and recover**. ## The 7 Principles ### P1. Machine-readable (Primary Output Format) **Machine-readable output is the primary interface, not human-readable text.** - Provide `--json` / `--output json|yaml|text` as a first-class option - Strict separation: stdout=results / stderr=logs/progress (never mix) - **Errors are also structured** (preferably JSON) - Schema stability (manage breaking changes with `schemaVersion`) **When to use**: Every CLI command should support structured output. ### P2. Non-interactive by Default **Interactive prompts should not be the default behavior.** - Don't assume interactive prompts - Provide `--yes` / `--force` / `--no-confirm` / `--non-interactive` flags - Must complete successfully in TTY-less environments (CI, job runners) **When to use**: Any command that might prompt for user input. ### P3. Idempotent & Replayable **Commands should be safe to run multiple times with the same result.** - Send/create operations accept dedupe-key / client-request-id - "Already exists" behavior is configurable: `--if-exists skip|update|error` - Retrieval uses explicit pagination: `--limit` `--cursor` `--all` **When to use**: Any write operation or data retrieval command. ### P4. Safe-by-default **Destructive operations require explicit confirmation.** - Destructive operations support `--dry-run` / `--confirm <id>` - Deletion requires `--force` or similar (default prevents accidents) - Permissions/scopes are minimized; insufficient permissions return "next steps" **When to use**: Any command that modifies or deletes data. ### P5. Observable & Debuggable **Operations must be traceable and debuggable.** - Provide `--verbose` / `--debug` / `--log-format json` - Accept `--trace-id` for correlation IDs - Exit codes are categorized for automatic recovery: - 0: success - 2: invalid arguments - 3: authentication/permission - 4: retryable (rate limit, transient errors) **When to use**: All commands should support observability flags. ### P6. Context-efficient **Minimize token/context consumption for LLM agents.** - `--fields/--select` (projection) - `--output ndjson` (streaming) - Default is summary; details via `get`/`--include-*` explicitly - Rich server-side filtering (since/until/query/type...) **When to use**: Commands that return large datasets or detailed information. ### P7. Introspectable (Self-describing CLI) **The CLI itself can emit its specification in machine-readable format.** MCP tools have schema definitions, but CLIs are often black boxes. Solution: **CLI emits its own specification**. - `commands --json` (list commands and arguments) - `schema --command ... --output json-schema` (per-command JSON Schema) - `--help --json` (examples, exit codes, error vocabulary) - `install-skills` (emit/install the CLI's own agent skill from `<project dir>/skills`) - `--output json` top-level fixed fields: - `schemaVersion`, `type`, `ok` Recommended `install-skills` behavior: - Installs the CLI's own usage skill, not arbitrary third-party skills - Reads skill source from `<project dir>/skills` - Default destination: `./.agents/skills` - `install-skills --global`: `~/.agents/skills` - `install-skills --claude`: `./.claude/skills` - `install-skills --claude --global`: `~/.claude/skills` **When to use**: For CLIs that need to be discoverable and self-documenting to agents. ## Reference Documentation This skill includes detailed reference materials organized by topic: ### [references/principles.md](references/principles.md)
From marcioaltoe/skills, MIT.
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Signals
- Stars
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- Forks
- 2
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- Last commit (this folder)
- Jun 17, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/marcioaltoe/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
agentic-cli-design skill. Agent Mart. https://agentmart.dev/skills/marcioaltoe-agentic-cli-design (last updated 2026-10-24)