bash-testing

More from jamie-bitflight/claude_skills

• agent-creator

  Create high-quality Claude Code agents from scratch or by adapting existing agents as templates. Use when the user wants to create a new agent, modify agent configurations, build specialized subagents, or design agent architectures. Guides through requirements gathering, template selection, and agent file generation following Anthropic best practices (v2.1.63+).

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• backlog

  Single interface for backlog items and GitHub Issues. GitHub Issues are the source of truth; ~/.dh/projects/{slug}/backlog/ per-item files are the local cache. All backlog CRUD goes through MCP tools (mcp__plugin_dh_backlog__*) in orchestrator sessions — no direct file edits. Use when creating, listing, viewing, updating, closing, resolving, grooming, or syncing backlog items and GitHub issues.

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• daily-releases

  Create GitHub Releases with AI-analyzed changelogs for every calendar day with commits on origin/main. Uses the same analyze → AI-categorize → format pipeline as /create-merge-request-changelog for rich, structured output. Idempotent: skips days that are already up to date, updates releases where new commits have been added. Automatically invoked when command is run; accepts optional --start-date, --end-date, --branch, --dry-run arguments.

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• planning

  SAM Stage 2 — Transform discovery into actionable design with RT-ICA prerequisite verification. Produces the PLAN artifact with approach, components, success criteria, acceptance tests, and risks. Use when discovery is complete and design must begin. Blocks on missing prerequisites.

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• task-decomposition

  SAM Stage 4 — Decompose contextualized plan into atomic, independently executable tasks with complete embedded context. Used when the contextualized plan is ready for TASK file generation with CLEAR ordering, CoVe checks, and dependency graphs for parallel execution.

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• user-docs-to-ai-skill

  Converts user-facing documentation (how-to guides, tutorials, API references, examples) in any format — Markdown, PDF, DOCX, PPTX, XLSX, AsciiDoc, RST, HTML, Jupyter notebooks, man pages, TOML/YAML/JSON configs, and plain text — into Claude Code skill directories with SKILL.md plus thematically grouped references/*.md files. Use when given a docs directory or mixed-format documentation to transform into an AI skill. Uses MCP file-reader server for binary formats.

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