Results for “auto-buy”

This skill should be used when the user asks to "create an index", "build a basket of top assets", "buy a weighted basket", "make a portfolio of assets", "equal-weight basket", "rebalance my portfolio", "track the top N tokens", or wants an automated, weighted multi-asset basket that buys in one pass and rebalances on a cadence. Builds the basket spec, delegates each buy and rebalance swap to the swap-integration Trading API flow, and records target weights in state.

Builds reliable browser automation skills through iterative experimentation, running an inner agent to browse sites and improving navigation instructions until tasks pass consistently.

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. (gstack)

[OMX] Strict autonomous loop: $deep-interview -> $ralplan -> $ultragoal (+ $team if needed) -> $code-review -> $ultraqa

Auto-review pipeline — reads the full CEO, design, eng, and DX review skills from disk and runs them sequentially with auto-decisions using 6 decision principles. Surfaces taste decisions (close approaches, borderline scope, codex disagreements) at a final approval gate. One command, fully reviewed plan out. Use when asked to "auto review", "autoplan", "run all reviews", "review this plan automatically", or "make the decisions for me". Proactively suggest when the user has a plan file and wants to run the full review gauntlet without answering 15-30 intermediate questions. (gstack) Voice triggers (speech-to-text aliases): "auto plan", "automatic review".

Builds reliable browser automation skills by iteratively running a browsing task, reading the trace, and improving the navigation strategy until it passes consistently.

Give your agent a budget, a target, and a deadline — it does the rest. Orchestrates DSL + Opportunity Scanner + Emerging Movers into a full autonomous trading loop on Hyperliquid. Race condition prevention, conviction collapse cuts, cross-margin buffer math, speed filter. 3 risk profiles: conservative, moderate, aggressive. Use when setting up autonomous trading, creating a trading strategy, or running a scan-evaluate-trade-protect loop.

Go-to-market strategy for AI products, covering positioning, pricing, and enterprise objections.

Run Karpathy-style autonomous ML search on a real training repo: choose the right mode (setup, program.md, bounded loop, results interpretation, or constrained-hardware adaptation), preserve the immutable prepare.py / 300-second / val_bpb contract, and route prompt/skill eval work away to LangSmith, Promptfoo, Braintrust, or skill-autoresearch.

Automates question submission to Amazon's Alexa/Rufus AI shopping assistant and collects structured response data, with optional keyword search context for category-specific answers.

This skill should be used when building automated trading systems, implementing limit orders, or adding DCA/TWAP functionality. Covers limit orders, stop losses, DCA schedules, and TWAP execution.

当设定个人或工作目标，希望目标本身能带来持续的内在动力和满足感时

Build and prioritize the acquirer universe for a sell-side M&A process — strategic and financial buyers scored on strategic fit, ability to pay, and likelihood to transact.

Go-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.

Provides a catalog of sales prompts covering pipeline management, prospecting, closing, proposals, objections, retention, and sales intelligence, with behavioral frameworks like SPIN, Challenger, and MEDDIC.

Upgrade gstack to the latest version. Detects global vs vendored install, runs the upgrade, and shows what's new. Use when asked to "upgrade gstack", "update gstack", or "get latest version". Voice triggers (speech-to-text aliases): "upgrade the tools", "update the tools", "gee stack upgrade", "g stack upgrade".

Executes multi-stage release plans by reading a PHASE-PLAN.md, implementing each stage, running validation and critique gates, committing with clean scope, and advancing automatically, halting on repeated failures or unresolvable issues.

Turn a customer's stated goals into a success plan that predicts the renewal. It sets time-to-value milestones, names an owner on both sides for each, and picks the leading indicators that tell you a year early whether this account renews. Built for B2B customer success teams, customizable to your CRM and product analytics. Trigger on "build a success plan", "onboarding plan for this account", "what are the milestones", "how do I know they'll renew", "time-to-value plan", or any post-sale planning.

Iteratively improves a compiled LaTeX paper through two rounds of external LLM review, fix implementation, and recompilation.

Analyze auto-memory for promotion candidates, stale entries, consolidation opportunities, and health metrics.

Autonomous build-ship-verify loop that ends with code committed, deployed, and confirmed live. Triggers on: "$ownership", "execute X with ownership", "build this overnight", or any request for an autonomous product loop with no human checkpoints until production is verified. NOT for: one-off tasks, quick fixes, or supervised dev work (use devprocess for those).

Record buy rationale and structured sell conditions for stock positions, with automatic monitoring to detect when exit triggers fire.

Audit App Store and Google Play listings for discoverability and conversion — keywords, localized metadata, screenshots, ratings prompts — then emit a prioritized ASO plan. Use when "optimize our store listing", "improve app downloads", or "ASO". Submission mechanics → plan-mobile-readiness. Plan only.

Automatically collects dialectic memory to fine-tune local models.

当意识到自己处于被动、重复、缺乏意义的生活状态，想要主动设计人生时

Enables AI agents to make purchases using encrypted cards and stablecoin wallets with strict spending controls and approval modes.

Turn fb.ai article briefs into published articles — check the destination is connected, price the batch (1.0 quota per article), generate, optionally route through human approval, then publish to the connected CMS/social platform. Also owns the publishing calendar and fb.ai's daily autopilot automations. Run on demand, after seo-researcher.

Generates unit tests for multiple languages and frameworks, including coverage reports and boundary/exception cases.

Pre-commit/ship code review: Codex default; optional Claude, Pi, Droid, Copilot, Cursor, or OpenCode.

AutoAugment: Learning Augmentation Strategies from Data

Meta-skill — defines when to apply other skills automatically without being asked

Run a co-sell with a partner on a named account and actually close together, not just trade a lead. It maps the account across both companies, sets who owns what so nothing falls between you, builds the joint value story neither of you tells alone, and plans the path to close so the partner is a force in the deal, not a spectator. Built for B2B partnerships and sales teams, customizable to your CRM and your co-sell motion. Trigger on "run a co-sell", "co-sell on this account", "map the account with our partner", "who owns what in this joint deal", "joint value story", or any partner co-sell request on a named account.

Runs a structured code review as a pre-commit or pre-ship gate, supporting multiple review engines and scope governance.