Results for “chance-operations”

Avalia riscos e oportunidades do caso civel e sugere os proximos passos processuais. Pondera probabilidade de exito, onus da prova, custos/beneficios de acordo x litigio, momento de tutela de urgencia, escolha de pedidos e de via (conhecimento x cumprimento), e calibra a postura. Use quando o operador disser qual a estrategia, vale a pena recorrer, devo fazer acordo, quais os riscos, proximo passo, ou pedir analise estrategica do caso.

Run structured What-If scenario analysis with 4-6 branch possibility exploration (best, likely, worst, wild card, contrarian, second-order). Use for speculative questions about uncertain futures, strategic forks, contingency planning, or stress-testing decisions.

Use when making a forward-looking claim with a checkable outcome (reply within 24h, error rate will drop, this skill will see more use) — record to state/predictions.jsonl with a review horizon so reflection can grade you later. Closes the in-the-moment double-loop.

Heap exploitation playbook. Use when targeting ptmalloc2/glibc heap vulnerabilities including UAF, double free, overflow, off-by-one/null, and leveraging tcache/fastbin/unsortedbin attacks for arbitrary write or code execution.

Extract Kerberos tickets from LSASS memory, inject them into an attacker session, and perform lateral movement to access remote systems as the impersonated user.

Detects unusual options activity and classifies smart money signals to help follow institutional positioning, including volume/OI ratio spikes, block trades, sweep orders, and net premium flow.

Operations, debugging, and optimization for DAG workflows. Performs root cause analysis on failures, profiles execution performance, aggregates results from parallel branches, bridges context between nodes, and learns patterns from execution history. Activate on "DAG failed", "why did it fail", "root cause", "performance profile", "aggregate results", "merge branches", "execution patterns", "optimize DAG". NOT for planning DAGs (use dag-planner), executing DAGs (use dag-runtime), or validating outputs (use dag-quality).

面向ECC的以证据为先的实时消息工作流。当用户想要阅读短信或私信、恢复最近的一次性验证码、在回复前检查对话线程，或证明实际检查了哪个消息来源时使用。

Extends effective context capacity through strategic compression, masking, caching, and partitioning techniques.

Apply operations across multiple files simultaneously. Pattern-based bulk modifications, search-and-replace across codebases, consistent changes to many files at once.

Post-execution skill crystallization and learning engine updates for WinDAGs. Runs after successful execution to update Thompson sampling parameters, track method quality, detect monster-barring, log near-miss events, and signal Kuhnian crises. Activate on "curator", "learning update", "skill crystallization", "Thompson sampling", "monster-barring", "near-miss", "Kuhnian crisis", "post-execution learning". NOT for pre-execution risk scanning (use windags-premortem), retrospective analysis (use windags-looking-back), or DAG construction (use windags-architect).

Exploit path normalization discrepancies between CDN caching layers and origin servers to cache and retrieve authenticated content.

建议在逻辑间隔处手动压缩上下文，以在任务阶段中保留上下文，而非任意的自动压缩。

Detect and evaluate arbitrage opportunities across sportsbooks and prediction markets. Calculate guaranteed-profit scenarios, middle bets, and cross-platform price discrepancies. Use when comparing odds across books, calculating arb percentages, evaluating middle opportunities, or building odds-comparison workflows. Also trigger for 'arb bet', 'sure bet', 'arbitrage', 'odds comparison', 'middle bet', 'risk-free bet', or 'line shopping'.