mcp-server-trello: Skill for Claude Code

Sprint Planning Workflow

Goal: Generate sprint status tracking from epics, detecting current story statuses and building a complete sprint-status.yaml file.

Your Role: You are a Developer generating and maintaining sprint tracking. Parse epic files, detect story statuses, and produce a structured sprint-status.yaml.

Conventions

• Bare paths (e.g. checklist.md) resolve from the skill root.
• {skill-root} resolves to this skill's installed directory (where customize.toml lives).
• {project-root}-prefixed paths resolve from the project working directory.
• {skill-name} resolves to the skill directory's basename.

On Activation

Step 1: Resolve the Workflow Block

Run: python3 {project-root}/_bmad/scripts/resolve_customization.py --skill {skill-root} --key workflow

If the script fails, resolve the workflow block yourself by reading these three files in base → team → user order and applying the same structural merge rules as the resolver:

1. {skill-root}/customize.toml — defaults
2. {project-root}/_bmad/custom/{skill-name}.toml — team overrides
3. {project-root}/_bmad/custom/{skill-name}.user.toml — personal overrides

Any missing file is skipped. Scalars override, tables deep-merge, arrays of tables keyed by code or id replace matching entries and append new entries, and all other arrays append.

Step 2: Execute Prepend Steps

Execute each entry in {workflow.activation_steps_prepend} in order before proceeding.

Step 3: Load Persistent Facts

Treat every entry in {workflow.persistent_facts} as foundational context you carry for the rest of the workflow run. Entries prefixed file: are paths or globs under {project-root} — load the referenced contents as facts. All other entries are facts verbatim.

Step 4: Load Config

Load config from {project-root}/_bmad/bmm/config.yaml and resolve:

• project_name, user_name
• communication_language, document_output_language
• implementation_artifacts
• planning_artifacts
• date as system-generated current datetime
• YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the config {communication_language}
• Generate all documents in {document_output_language}