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.
npx skills add https://github.com/oliver-kriska/claude-elixir-phoenix --skill plan
Plan a feature by spawning Elixir specialist agents, then output
structured plan with checkboxes.
[ecto], [liveview], [oban] task routingmix compile/format/credo/test verification/phx:plan Add user avatars with S3 upload
/phx:plan .claude/plans/notifications/reviews/notifications-review.md
/phx:plan Implement notifications --depth deep
/phx:plan .claude/plans/auth/plan.md --existing
$ARGUMENTS = Feature description, review file, or existing plan--depth quick|standard|deep = Planning depth (auto-detected)--existing = Enhance an existing plan with deeper researchinterview.md (skip clarification), clear description, or vague
brainstorm interview.md exists with Status: COMPLETE)
and warnings before spawning agents (direct path only — the
research orchestrator gathers its own)
spawn directly in parallel. 3+ agents (broad multi-context feature):
determine the effective maximum nesting depth. Use an explicit positive-integer
CLAUDE_CODE_MAX_SUBAGENT_SPAWN_DEPTH value first; when it is unset, inspect
claude --version (the default is 1 in 2.1.217–2.1.218 and 3 in 2.1.219+).
If the version is unavailable, conservatively use 1. At depth 3+, spawn ONE
planning-orchestrator to run and compress the fan-out. At depth 1 or 2,
keep orchestration in this
main session: spawn the selected specialist agents directly, wait for them, then spawn
phx:context-supervisor directly if compression is needed. Never spawn an
orchestrator that cannot delegate. Read only the resulting digest and
summaries/consolidated.md. Create a Claude Code task per spawn:
TaskCreate({subject: "{Agent} research", activeForm: "Researching..."}),
mark in_progress on spawn, completed when done
"completed". NEVER write plan while any agent is still running
10. Generate plan — Checkboxes, phased tasks, code patterns.
Also create plans/{slug}/scratchpad.md for decisions and dead-ends
11. Self-check (deep only) — Three questions in Risks section
12. 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 ${CLAUDE_SKILL_DIR}/references/planning-workflow.md for detailed step-by-step.
Enhances an existing plan instead of creating a new one:
.claude/solutions/ for known risksEach agent writes to .claude/plans/{slug}/research/ and
returns only a 500-word summary. Same agent selection rules
completed as each finishes)input is a review file or /phx:investigate output, 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)
/phx:plan {feature} <-- YOU ARE HERE
|
/phx:plan --existing (optional enhancement)
|
ASK USER -> /phx:work .claude/plans/{feature}/plan.md
|
/phx:review → /phx:compound
.claude/plans/{slug}/plan.md.claude/plans/{slug}/research/ can be deleted afterSTOP. Do NOT proceed to implementation.
After writing .claude/plans/{slug}/plan.md:
AskUserQuestion with options:/phx:brief — interactive walkthrough)When user selects "Start in fresh session", print:
1. Run `/new` to start a fresh session
2. Then run one of:
/phx:work .claude/plans/{slug}/plan.md
/phx:full .claude/plans/{slug}/plan.md (includes review + compound)
This is Iron Law #1. Violating it wastes user context.
${CLAUDE_SKILL_DIR}/references/planning-workflow.md — Detailed step-by-step${CLAUDE_SKILL_DIR}/references/plan-template.md${CLAUDE_SKILL_DIR}/references/complexity-detail.md${CLAUDE_SKILL_DIR}/references/example-plan.md${CLAUDE_SKILL_DIR}/references/agent-selection.md${CLAUDE_SKILL_DIR}/references/breadboarding.mdAutomatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
This skill retrieves upcoming earnings announcements for US stocks using the Financial Modeling Prep (FMP) API. Use this when the user requests earnings calendar data, wants to know which companies are reporting earnings in the upcoming week, or needs a weekly earnings review. The skill focuses on mid-cap and above companies (over $2B market cap) that have significant market impact, organizing the data by date and timing in a clean markdown table format. Supports multiple environments (CLI, Desktop, Web) with flexible API key management.
Crypto wallet operations via the awal CLI — sign in, check balances, send USDC/ETH/POL/SOL, trade tokens, fund the wallet, and use the x402 payment protocol to discover paid services, pay for API calls, monetize an API, or query onchain data. Use whenever the user mentions signing in, login, authentication, wallet status, balance, address, sending money, paying someone, transferring tokens, ENS names, swapping/trading/converting tokens, funding/topping up/onramp, USDC, ETH, POL, SOL, the x402 bazaar, paid APIs, monetizing an endpoint, or querying onchain data on Base.
Access real-time and historical stock market data, forex rates, cryptocurrency prices, commodities, economic indicators, and 50+ technical indicators via the Alpha Vantage API. Use when fetching stock prices (OHLCV), company fundamentals (income statement, balance sheet, cash flow), earnings, options data, market news/sentiment, insider transactions, GDP, CPI, treasury yields, gold/silver/oil prices, Bitcoin/crypto prices, forex exchange rates, or calculating technical indicators (SMA, EMA, MACD, RSI, Bollinger Bands). Requires a free API key from alphavantage.co.
Braintree Automation: manage payment processing via Stripe-compatible tools for customers, subscriptions, payment methods, and transactions
Take oliver-kriska/plan 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.