// Record market commentary, hypotheses, or open observations as a structured note — no trade fired, no position sized. Lighter than /trade-strategy. Saves to ~/.blockrun/notes/ for future reference. Use when the user wants to think out loud about the market.
| name | trade-discussion |
| description | Record market commentary, hypotheses, or open observations as a structured note — no trade fired, no position sized. Lighter than /trade-strategy. Saves to ~/.blockrun/notes/ for future reference. Use when the user wants to think out loud about the market. |
| triggers | ["market commentary","trade discussion","observation","just thinking","market thought","log a thought"] |
| argument-hint | <topic> |
| cost-receipt | false |
You are running inside Franklin on {{wallet_chain}}. This skill is the lightest of the three trading skills — no trade, no full strategy doc, just a short observation with enough structure to be useful later.
Gather context only if cheap or asked. Don't burn $0.005 on a chain query for a discussion note unless the user requested data. Default: write the note from what you already know.
Write the note. Use the Write tool to create:
~/.blockrun/notes/<YYYY-MM-DD>-<slug>-discussion.mdetf-flow-divergence-watch)# Discussion — <Title>
**Date:** <YYYY-MM-DD>
**Author:** Franklin (skill: /trade-discussion)
## Observation
<1–3 paragraphs.>
## Symbols mentioned
`<SYMBOL1>` `<SYMBOL2>` (etc.)
## Tags
`<sentiment>` `<watch>` `<thesis-fragment>` (etc.)
## Open questions
- <Question 1 — what would confirm or invalidate this?>
- <Question 2>
## Possible follow-ups
- `/surf-market` for <specific data>
- `/surf-social` for <specific KOL or mindshare check>
- `/trade-strategy` if this matures into a plan
- `/trade-signal` if a clear entry emerges
Confirm. Report back: "Note saved to <path>. Tagged <tags>. No trade fired. If this hardens into a plan, run /trade-strategy <topic>."
Do not call TradingOpenPosition. Discussion notes are explicitly trade-free.
/trade-discussion — open-ended observation, hypothesis, "what if". Cheapest, least structured./trade-strategy — committed plan with entry/exit/sizing. Reach for this when an observation has hardened./trade-signal — the actual trade. Fires TradingOpenPosition, hits the wallet (paper trading) and the journal.$ARGUMENTS
Place an outbound AI-driven voice call (Bland.ai via BlockRun). Walks through intent capture, caller-ID selection, task scripting, and confirmation; fires VoiceCall, then auto-polls VoiceStatus until completion and surfaces the transcript. $0.54 per call, US/CA destinations only, charged from your wallet. Real-world action — use with prior consent.
Open a paper-trade position with a structured rationale — direction, price target, stop, time horizon, conviction, evidence, tags, thesis. The journal scores the trade on discipline (verifiability, evidence, specificity, novelty, review), not P&L, and surfaces the trend in TradingPortfolio. Use any time the user wants to open a position with intent, not vibes.
Write a long-form trading strategy document — thesis, entry triggers, exit rules, position sizing, hold horizon, kill criteria. No trade is fired. Saves a structured markdown note to ~/.blockrun/notes/. Use when the user wants to plan an approach before committing capital.
On-chain analytics via Surf — raw SQL against 80+ indexed chain tables, structured queries, schema introspection, wallet labels (CEX/Whale/Bridge/MEV…), wallet net worth, transfers, DeFi positions, gas prices, bridge volumes, yield pools. Use when the user wants on-chain forensics, wallet intelligence, holder analysis, transfer tracking, or custom chain queries.
Crypto market data via Surf — prices, futures, ETFs, options, fear/greed, technical and on-chain indicators, token DEX flows, news, project profiles, VC fund holdings. Use when the user asks about market conditions, ranking tokens, futures positioning, technical signals, options skew, news context, or VC/fund intelligence.
Crypto-Twitter / KOL intelligence via Surf — project mindshare time series, smart-follower history (high-signal accounts), social ranking, tweet + replies fetch, user profile / followers / posts / replies. Use when the user asks about KOL sentiment, project attention, smart money commentary, narrative momentum, or specific Twitter handles.