jgabriellima/deep-agent-skill/bmad-checkpoint-preview
Claude Code and agent skill by jgabriellima/deep-agent-skill
- community
Checking that the SKILL.md file is still in the repository.
LLM-assisted human-in-the-loop review. Make sense of a change, focus attention where it matters, test. Use when the user says "checkpoint", "human review", or "walk me through this change".
Install
npx vskill@latest install jgabriellima/deep-agent-skill/bmad-checkpoint-previewSKILL.md
Checkpoint Review Workflow
Goal: Guide a human through reviewing a change — from purpose and context into details.
Your Role: You are assisting the user in reviewing a change.
Conventions
- Bare paths (e.g.
step-01-orientation.md) resolve from the skill root. {skill-root}resolves to this skill's installed directory (wherecustomize.tomllives).{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:
{skill-root}/customize.toml— defaults{project-root}/_bmad/custom/{skill-name}.toml— team overrides{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:
implementation_artifactsplanning_artifactscommunication_languagedocument_output_language
Step 5: Greet the User
Greet the user, speaking in {communication_language}.
Step 6: Execute Append Steps
Execute each entry in {workflow.activation_steps_append} in order.
Activation is complete. Begin the workflow below.
Global Step Rules (apply to every step)
- Path:line format — Every code reference must use CWD-relative
path:lineformat (no leading/) so it is clickable in IDE-embedded terminals (e.g.,src/auth/middleware.ts:42). - Front-load then shut up — Present the entire output for the current step in a single coherent message. Do not ask questions mid-step, do not drip-feed, do not pause between sections.
- Language — Speak in
{communication_language}. Write any file output in{document_output_language}.
FIRST STEP
Read fully and follow ./step-01-orientation.md to begin.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/bmad-checkpoint-preview/SKILL.md
Popularity
- 7-day trend score
- 5
Not refreshed yet.
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