trader-setup

name	trader-setup
version	0.3.0
description	One-time onboarding for the financial trader workflow — real-time alerts, position-aware relevance, decision journaling with outcome tracking. After successful setup this skill is excluded from selection until the marker file is deleted.
activation	{"setup_marker":"projects/commitments/.trader-setup-complete","keywords":["trader assistant","trading workflow","portfolio tracking","market alerts","trading setup","position tracking","trade journal"],"patterns":["(?i)I'm a (trader|investor|portfolio manager|fund manager)","(?i)set ?up.*(trading|portfolio|market|position)","(?i)help me (track|manage) my (trades|positions|portfolio)"],"tags":["commitments","trading","finance","setup"],"max_context_tokens":2500}
requires	{"skills":["commitment-triage","commitment-digest","decision-capture","delegation-tracker"]}

Financial Trader — Commitment System Setup

You are configuring the commitments system for a financial trader. Their day involves:

• Pre-market: research, reviewing overnight moves, updating thesis
• Market hours: intense, real-time. Speed matters — seconds count for some signals
• Post-market: journaling, reviewing positions, reading research, planning next day
• Information velocity is extreme; contradictory signals are common

Companion skills

This bundle relies on these skills activating during conversation (keyword-triggered):

Skill	Activates when	What it does
commitment-triage	User mentions obligations, deadlines	Extracts signals, creates/resolves commitments
commitment-digest	User asks "show commitments"	Composes formatted summary
decision-capture	User makes a trade decision ("sold half my AAPL")	Records decision with rationale for journaling
delegation-tracker	User delegates research tasks	Tracks delegation follow-ups

If any are missing from skills/, tell the user which ones are needed.

Step 1: Ask configuration questions

1. Markets: Which markets/asset classes and market hours? (US equities, crypto, forex, options, futures)
2. Position tracking: Do you want me to track your current positions? If so, where do you log them? (I'll read from a workspace file you maintain)
3. Alert threshold: During market hours, should I alert immediately for position-relevant signals, or batch everything?
4. Journal cadence: Do you journal daily (post-market) or weekly?
5. Risk signals: Any specific tickers, sectors, or keywords that should always trigger immediate alerts?

Step 2: Declare the project and create workspace structure

Writing any file under projects/commitments/ is the declaration that the project exists — the engine auto-registers it and scopes missions to it. Start with:

memory_write(
  target: "projects/commitments/AGENTS.md",
  content: "# Commitments (Trader)\n\nThis project tracks trading signals, positions, and trade decisions.\n\n## Operating principles\n\n- Always read `positions.md` before scoring signal relevance — a headline is noise unless it matches a held position.\n- Position-relevant signals fire `immediacy=realtime` and broadcast immediately.\n- Market signals expire after 4h on trading days; research signals after 48h.\n- Contradictory signals on the same ticker flag as CONFLICT and surface together.\n- Trade decisions go in `projects/commitments/decisions/` with outcome tracking.\n",
  append: false
)

Then:

1. Check if projects/commitments/README.md exists via memory_read. If it does, skip to creating trader-specific files.
2. Write projects/commitments/README.md with the full schema — see commitment-setup skill for the complete content including immediacy levels, signal destinations, resolution paths, and trust calibration.
3. Create placeholder READMEs in each subdirectory: open/, resolved/, signals/pending/, signals/expired/, decisions/, parked-ideas/.
4. Create trader-specific files:

memory_write(target="projects/commitments/positions.md", content="# Current Positions\n\nMaintain your positions here. The agent reads this to score signal relevance.\n\n## Format\n\n- TICKER: SIZE, entry PRICE, thesis: BRIEF_THESIS\n\nExample:\n- AAPL: 500 shares, entry $175, thesis: AI integration undervalued\n- SPY Apr 520P: 10 contracts, thesis: hedging macro risk\n\n## Positions\n\n(Add your positions here)", append=false)

memory_write(target="projects/commitments/trade-journal/README.md", content="Daily trade journal entries. Each file: projects/commitments/decisions/<date>-<slug>.md with outcome tracking.", append=false)

Step 3: Create tuned missions

Triage mission — market-hours aware, position-sensitive

mission_create(
  name: "commitment-triage",
  goal: "Trader triage. Read projects/commitments/README.md for schema. Read projects/commitments/positions.md for current positions. Priority order: (1) Position-relevant signals — any signal mentioning a ticker in the positions list gets immediacy=realtime and urgency=critical. Broadcast immediately via message tool. (2) Contradictory signal detection — if two pending signals point in opposite directions on the same ticker or thesis, flag as CONFLICT and surface both together immediately. (3) Market signals expire after 4 hours during market days, 24 hours otherwise. Research/thesis signals expire after 48 hours. (4) Route market intelligence (analyst reports, macro data) to intelligence destination via MemoryDoc. (5) Check decisions older than 7 days without outcome — prompt for outcome assessment. (6) Append triage summary to projects/commitments/triage-log.md. (7) Alert on any position-relevant or conflicting signals.",
  cadence: "0 8,10,12,14,16,18 * * 1-5",
  project_id: "commitments"
)

Six runs on market days — every 2 hours from pre-market to post-market close.

Digest mission — pre-market brief and post-market journal prompt

mission_create(
  name: "commitment-digest",
  goal: "Trader digest. Read projects/commitments/README.md for schema. Read projects/commitments/positions.md for current positions. If this is a morning run: (1) POSITION STATUS — list each position with any relevant signals from the last 24h. (2) OPEN RESEARCH — commitments tagged 'research' or 'thesis'. (3) PENDING DECISIONS — items with resolution_path=needs_decision. (4) CONFLICTING SIGNALS — any unresolved conflicts. If this is an evening run: (1) Summarize today's decisions from projects/commitments/decisions/ with today's date. (2) For each decision, note if outcome data is available. (3) Prompt: 'Any trades to journal? Any thesis updates?' End with 'Did I miss anything?' Send via message tool.",
  cadence: "0 7,18 * * 1-5",
  project_id: "commitments"
)

Weekly review mission

mission_create(
  name: "trader-weekly-review",
  goal: "Weekly trading review. Read all files in projects/commitments/decisions/ from the past 7 days. For each decision: (1) What was decided and why. (2) If outcome data exists, was it positive or negative? (3) Which signals informed the decision — were those signal sources reliable? Also read projects/commitments/positions.md — for each position, has the original thesis changed based on this week's signals? Flag any position where contradictory evidence has accumulated. Write review summary to context/intel/weekly-review-<date>.md as durable intelligence. Send via message tool.",
  cadence: "0 10 * * 6",
  project_id: "commitments"
)

Step 4: Write calibration memories

memory_write(
  target: "projects/commitments/calibration.md",
  content: "# Trader Calibration\n\n- Always read projects/commitments/positions.md before scoring signal relevance — a headline about AAPL is noise unless you hold AAPL\n- Position-relevant signals get immediacy=realtime — broadcast immediately, do not wait for digest\n- Market signals expire after 4 hours on trading days; research signals after 48 hours\n- When two signals contradict on the same ticker or thesis, flag as CONFLICT — never surface them independently\n- Trade decisions go in projects/commitments/decisions/ with the standard schema, plus outcome tracking\n- Prompt for outcome assessment on decisions older than 7 days: 'You decided X a week ago. How did it play out?'\n- Pre-market brief leads with position-relevant signals; post-market prompt leads with today's decisions\n- Weekly review on Saturday assesses signal source reliability and thesis drift — write to context/intel/ as durable intelligence\n- The user maintains positions.md manually — do not modify it, only read it\n- Start conservative: surface everything, ask before acting on agent_can_handle items",
  append: false
)

Step 5: Confirm

Your trading commitment system is ready:

• Triage runs every 2 hours on market days (8am–6pm) — position-aware, contradictory signal detection, 4h market signal expiration, realtime alerts for position-relevant signals
• Pre-market brief at 7am — position-relevant signals, open research, pending decisions
• Post-market journal at 6pm — today's decisions, outcome prompts
• Weekly review Saturday 10am — decision outcomes, signal reliability, thesis drift
• Update projects/commitments/positions.md with your holdings for position-aware scoring
• Say "I sold half my AAPL because of the earnings miss" to journal a trade decision
• Say "show commitments" for current status, or "any conflicts?" for contradictory signals

Step 6: Mark setup complete

After confirming with the user, write the setup completion marker so this skill stops competing for the activation budget on every subsequent message:

memory_write(
  target: "projects/commitments/.trader-setup-complete",
  content: "# Trader Setup Complete\n\nCompleted: <today's UTC date>\n\nMissions installed: trader-triage, trader-pre-market, trader-post-market, trader-weekly-review"
)

To re-trigger setup, delete projects/commitments/.trader-setup-complete first.