AI Agent Workflow Collection

Comprehensive China A-share stock analysis covering fundamental analysis, technical analysis, policy impact assessment, and market-specific features (T+1 trading, price…

Screen and filter A-share stocks based on fundamental metrics, technical indicators, capital flow, and custom criteria.

Triage AADS-ULoRA requests by capturing repository state, mapping impacted files and modules, and selecting the smallest safe validation surface before coding. Use when scope is unclear, when asked what to change or test first, or before implementation and review work.

Maintain AADS-ULoRA phase1, phase2, and phase3 training behavior plus adapter lifecycle invariants across local and Colab flows. Use for training logic, freezing rules, retention/OOD threshold behavior, and phase3 runtime or component updates.

Integrate Red Hat Ansible Automation Platform (AAP) with HashiCorp Vault Enterprise for dynamic SSH credential management.

AAWP (AI Agent Wallet Protocol) — the only crypto wallet protocol built exclusively for AI Agents on EVM-compatible blockchains and Solana. Not for humans. The signer is the AI Agent itself, cryptographically bound at wallet creation. Supports wallet lifecycle management, token transfers, DEX swaps, cross-chain bridging, Solana native trading (Pump.fun SDK + Jupiter), token launches, DCA automation, and price alerts.

When the user wants to plan, design, or implement an A/B test or experiment.

When the user wants to plan, design, or implement an A/B test or experiment.

When the user wants to plan, design, or implement an A/B test or experiment.

When the user wants to plan, design, or implement an A/B test or experiment.

Design and analyze A/B tests and controlled experiments for data-driven decisions. Use for: experiment design, hypothesis formulation, sample size calculation, statistical significance testing, multivariate testing, test implementation, results analysis, avoiding common pitfalls, sequential testing, and experimentation platforms.

Complete workflow for coupled thermomechanical analysis. Use when user mentions thermal stress, thermal expansion, or temperature causing deformation.

Download and manage abqpy API documentation. Use when user asks about API documentation, API reference, or downloading Abaqus docs.

Read analysis results. Use when user asks about maximum stress, extracting displacements, reaction forces, or exporting results. Post-processes ODB files.

Complete workflow for static structural analysis. Use when analyzing stress, displacement, or reaction forces under constant loads. For strength and stiffness evaluation.

Abductive analysis for qualitative interview data following Timmermans & Tavory.

Use when main results pass result-to-claim (claimsupported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.

Builds targeted Account-Based Marketing campaigns by identifying ideal customer profiles, mapping buying committees, creating personalized outreach sequences, and designing multi-channel engagement strategies. Use when targeting enterprise accounts, building sales playbooks, or designing vertical market penetration strategies.

Applies abstract interpretation using different abstract domains (intervals, octagons, polyhedra, sign, congruence) to statically analyze program variables and infer invariants, value ranges, and relationships. Use when analyzing program properties, inferring loop invariants, detecting potential errors, or understanding variable relationships through static analysis.

Performs abstract interpretation over source code to infer possible program states, variable ranges, and data properties without executing the program. Reports potential runtime errors including out-of-bounds accesses, null dereferences, type inconsistencies, division by zero, and integer overflows. Use when analyzing code for potential runtime errors, performing static analysis, checking safety properties, or verifying program behavior without execution.

Performs abstract interpretation to produce summarized execution traces and high-level program behavior representations. Highlights key control flow paths, variable relationships, loop invariants, function summaries, and potential runtime states using abstract domains (intervals, signs, nullness, etc.). Use when analyzing program behavior, understanding execution paths, computing loop invariants, tracking variable ranges, detecting potential runtime errors, or generating program summaries without concrete execution.

Law-driven abstraction protocol: evidence first, seam test, minimal algebra, executable law check.

Abuse prevention - rate limiting, moderation, bad actors. Use when fighting abuse.

Main orchestrator for autonomous coding operations. Use when running autonomous sessions, coordinating components, managing the full lifecycle, or orchestrating implementations.