>- flags, layered --help with examples, stdin/pipelines, fast actionable errors, idempotency, dry-run, and predictable structure. Use when building a CLI, adding commands, writing --help, or when the user mentions agents, terminals, or automation-friendly CLIs.
npx skills add https://github.com/ReinaMacCredy/maestro --skill cli-for-agents
Human-oriented CLIs often block agents: interactive prompts, huge upfront docs, and help text without copy-pasteable examples. Prefer patterns that work headlessly and compose in pipelines.
Bad: mycli deploy → ? Which environment? (use arrow keys)
Good: mycli deploy --env staging
mycli, then mycli deploy --help. Do not print the entire manual on every run.--help that works--help.--help includes Examples with real invocations. Examples do more than prose for pattern-matching.Options:
--env Target environment (staging, production)
--tag Image tag (default: latest)
--force Skip confirmation
Examples:
mycli deploy --env staging
mycli deploy --env production --tag v1.2.3
mycli deploy --env staging --force
cat config.json | mycli config import --stdin).mycli deploy --env staging --tag $(mycli build --output tag-only).Error: No image tag specified.
mycli deploy --env staging --tag <image-tag>
Available tags: mycli build list --output tags
--dry-run (or equivalent) so agents can preview plans before committing.--yes / --force to skip confirmations while keeping the safe default for humans.resource + verb: if mycli service list exists, mycli deploy list and mycli config list should follow the same shape.deployed v1.2.3 to staging
url: https://staging.myapp.com
deploy_id: dep_abc123
duration: 34s
--help, stdin/pipeline story, error messages with invocations, idempotency, dry-run, confirmation bypass flags, consistent command structure, structured success output.Use when creating new skills, editing existing skills, or verifying skills work before deployment
Curated collection of high-quality prompts for various use cases. Includes role-based prompts, task-specific templates, and prompt refinement techniques. Use when user needs prompt templates, role-play prompts, or ready-to-use prompt examples for coding, writing, analysis, or creative tasks.
Convert abstract edge concepts into strategy draft variants and optional exportable ticket YAMLs for edge-candidate-agent export/validation.
INVOKE THIS SKILL when writing ANY LangGraph code. Covers StateGraph, state schemas, nodes, edges, Command, Send, invoke, streaming, and error handling.
Analyze the protocol layer between agent harness and LLM model. Use when (1) understanding message wire formats and API contracts, (2) examining tool call encoding/decoding mechanisms, (3) evaluating streaming protocols and partial response handling, (4) identifying agentic chat primitives (system prompts, scratchpads, interrupts), (5) comparing multi-provider abstraction strategies, or (6) understanding how frameworks translate between native LLM APIs and internal representations.
Translate SKILL.md and README.md files into multiple languages for sharing skills internationally
| Shared workflow for editing Langfuse's repo-owned agent setup under `.agents/`. Use when changing AGENTS files, shared skills, `.agents/config.json`, generated shim behavior, provider discovery paths, or install-time agent sync.
>- Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).
Take reinamaccredy/cli-for-agents from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.