Phx plan
Skill oliver-kriska/claude-elixir-phoenix/targets/pi/skills/phx-plan
Claude Code plugin for Elixir/Phoenix/LiveView — 20 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.
npx -y skills add oliver-kriska/claude-elixir-phoenix --skill phx-planAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
What its author says it does
Copied from the file, not written here
Plan features spanning multiple domains: billing (Stripe), auth (RBAC), real-time (Presence), webhooks, jobs (Oban). Use when designing interconnected systems or converting review findings into tasks.
SKILL.md
5.9 KB, as published. Nobody here has run it
Plan Elixir/Phoenix Feature
Plan a feature by researching the relevant Elixir/Phoenix concerns, then output a structured plan with checkboxes.
What Makes /skill:phx-plan Different from /plan
- Covers relevant concerns through resumable research tracks
- Plans with
[ecto],[liveview],[oban]task routing - Checks for Iron Law compliance in the plan
- Includes
mix compile/format/credo/testverification - Understands Phoenix context boundaries
Usage
/skill:phx-plan Add user avatars with S3 upload
/skill:phx-plan .claude/plans/notifications/reviews/notifications-review.md
/skill:phx-plan Implement notifications --depth deep
/skill:phx-plan .claude/plans/auth/plan.md --existing
Arguments
- Text after the skill name = feature description, review file, or existing plan
--depth quick|standard|deep= Planning depth (auto-detected)--existing= Enhance an existing plan with deeper research
Workflow
- Gather context — File path (skip to research), brainstorm interview.md (skip clarification), clear description, or vague
- Clarify if vague — Ask questions ONE at a time (skip if brainstorm interview.md exists with Status: COMPLETE)
- Detect depth — Auto-detect quick/standard/deep
- Create research state — Before research, create
.claude/plans/{slug}/scratchpad.mdwith a concern-track checklist - Gather optional runtime context — Only when Tidewave tools are independently configured and exposed; otherwise inspect source, routes, schemas, and tests
- Research selectively — Cover only relevant concerns. Native generic
subagents may run independent tracks in parallel, but they are optional.
Without them, run every selected track sequentially in this session and
save evidence under
.claude/plans/{slug}/research/ - Finish ALL research tracks — Maintain the scratchpad checklist,
marking each selected track
[x]only after its evidence is captured. NEVER write the plan while any selected track remains unchecked - Breadboard (LiveView) — Produce the system map from collected evidence
- Completeness check — MANDATORY when planning from review
- Split decision — One plan or multiple, concrete options
- Generate plan — Checkboxes, phased tasks, code patterns.
Reuse
.claude/plans/{slug}/scratchpad.mdfor decisions and dead-ends - Self-check (deep only) — Three questions in Risks section
- Present and ask — STOP, show summary, let user decide
When planning from review: Every finding must appear in the plan — either as a task OR explicitly deferred by the user.
See references/planning-workflow.md for detailed step-by-step.
--existing Mode (Deepening)
Enhance an existing plan without relying on named agents:
- Load the plan and create or update
.claude/plans/{slug}/scratchpad.md - Identify thin sections and add a checklist of relevant concern tracks
- Complete every track in this session, sequentially by default; generic workers
are optional only for independent tracks and must write evidence under
.claude/plans/{slug}/research/ - Produce breadboarding and infrastructure notes directly from the gathered evidence, independent of whether workers were used
- Add implementation detail, resolve spikes, and strengthen verification
- Present a diff summary; never delete or silently rewrite existing tasks
Iron Laws
- NEVER auto-start /skill:phx-work — Always present plan and ask
- Research before assuming — Web-search unfamiliar tech
- Select research tracks narrowly — Only relevant concerns, not all
- NEVER write the plan while selected research tracks remain incomplete
- NEVER skip input findings — Every finding MUST have a task
- Do NOT run a library-selection track for existing dependencies
- Skip research when planning from review/investigation — When
input is a review file or
/skill:phx-investigateoutput, the findings ARE the research. Do NOT spawn agents to re-discover what the review already found. Convert findings directly to plan tasks. (Confirmed: 56-session analysis showed same findings discovered 3-4x across review→investigate→plan phases, wasting ~96K tokens)
Integration with Workflow
/skill:phx-plan {feature} <-- YOU ARE HERE
|
/skill:phx-plan --existing (optional enhancement)
|
ASK USER -> /skill:phx-work .claude/plans/{feature}/plan.md
|
/skill:phx-review → /skill:phx-compound
Notes
- Plans saved to
.claude/plans/{slug}/plan.md - Research reports in
.claude/plans/{slug}/research/can be deleted after
CRITICAL: After Writing the Plan
STOP. Do NOT proceed to implementation.
After writing .claude/plans/{slug}/plan.md:
- Summarize: task count, phases, key decisions
- Ask the user a normal conversational question with these options:
- "Start in fresh session" (recommended for 5+ tasks)
- "Get a briefing" (
/skill:phx-brief— interactive walkthrough) - "Start here"
- "Review or adjust the plan"
- Wait for user response. Never auto-start work.
When user selects "Start in fresh session", print:
1. Run `/new` to start a fresh session
2. Then run one of:
/skill:phx-work .claude/plans/{slug}/plan.md
/skill:phx-full .claude/plans/{slug}/plan.md (includes review + compound)
This is Iron Law #1. Violating it wastes user context.
References (DO NOT read — for human reference only)
references/planning-workflow.md— Detailed step-by-stepreferences/plan-template.mdreferences/complexity-detail.mdreferences/example-plan.mdreferences/agent-selection.mdreferences/breadboarding.md