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SkillsMP has collected 26 skills from hummingbot/condor. Open a skill to review its source and details.
Showing 26 of 26 collected skills.
The single reference for writing Condor routines — anatomy, the create → test → fix loop, fetching Hummingbot data, parallel calls, reports/charts, continuous loops, and candlestick charts. Routes to a companion file per topic.
Playbook for adding a missing token to the Hummingbot Gateway so it can be used in Orca LP positions. Covers both the UI walkthrough and the two input formats.
Check what a connector actually supports before answering capability questions
Give YOURSELF a loop — write a tick playbook (a strategy) under your own slug, dry-run it, and start it. The shared contract for how a strategy is authored, validated and launched; read by any agent that wants to act autonomously instead of only being…
Create and operate autonomous trading agents the minimal way — create the agent from just its role + purpose, prove it's alive by consulting it, then progressively improve it with routines and (optionally) a loop strategy.
How to read the Smart-Money Flow composite and translate it into a bounded directional perp decision on any venue (Derive, Hyperliquid, Backpack, Pacifica, …). Use whenever interpreting onchain_flow output or deciding LONG/SHORT/HOLD for the Smart-Money Flow…
End-to-end playbook for standing up an XRPL CLOB maker — preflight, planner, controller deploy, verify.
Many connectors (xrpl and every AMM/DEX connector, plus some CEXs) have no candle feed. `get_market_data(data_type="candles")` raises there and no retry will fix it — source the history from a candle-capable proxy or GeckoTerminal instead.
The shared backtesting contract — intake, how to run the routines, and the rules that hold for every strategy family. Family-specific thresholds live with the agent that owns them.
The directional-specific half of backtesting — window sizing, the metric threshold table, parameter sweeps, and the out-of-sample go/no-go. The tool contract and the family-agnostic rules live in the shared `backtest_flow` skill.
Phase 2 — turn a confirmed signal spec into a complete, fully vectorized Hummingbot v2 directional controller, uploaded with an initial config
Phase 1 — market regime classification, indicator exploration, and a confirmed signal spec, before any controller code is written
Gate a freshly-graduated Meteora DAMM v2 token before providing liquidity — sellability (honeypot), objective on-chain safety (mint/freeze authority, holder concentration, LP lock), and real post-graduation demand. Reject on any failure.
Phase 4 — deploy the backtest winner live, monitor early performance, and compare live results against backtest expectations to detect drift
Real-time reflex for improving yourself — turn user feedback, preferences, and workflow patterns into memories and skills as they happen
On hyperliquid_perpetual, tokenized perp contracts (equities/pre-IPO names like SPCX-USD) are issued by a provider and require an issuer prefix in the trading pair (e.g. XYZ:SPCX-USD, not SPCX-USD).
AI-driven log analysis for active bots, executors, and gateway — anomaly detection and failure pattern recognition over Hummingbot logs, for both real-time monitoring and retrospective diagnostics.
Pre-deploy checklist: order size validation + liquidation price guard for grid executors on perpetual futures
Summarize LP strategy status — slots held, PnL, fees, exits, wallet rent headroom, and free capacity.
Build a valid lp_executor config — side (1/2/3), base/quote amounts from base_pct, and bounds clamped to venue bin/tick width caps.
Scan and rank Solana CLMM memecoin pools by fee yield (fees/TVL) to choose which to LP into.
Decide hold vs exit for an open LP slot (TP/SL/range-abandoned), close it swapping back to quote, and rotate the freed capital.
How total_amount_quote and initial_positions define a controller's isolated capital — the budget a single pmm_mister controller trades with, and how to seed it with base assets you already hold so each controller is independent from the wider portfolio.
Run the MM bot status report: running bots, open/hold-mode positions, closed position breakdown (TP/SL/Early/Hold), PnL, volume, and error summary.
Ready-to-deploy pmm_mister config profiles (aggressive / balanced / conservative) — full parameter coverage including spreads, effectivization times, tolerance, order types, skew, and global TP/SL.
End-to-end playbook for deploying a pmm_mister bot on a token — regime analysis, profile selection, config creation, and bot deployment.