Results for “organization-policies”
8 skillsCommercial Policy
Design or revise a company's commercial policy governing discounts, approver thresholds, exception flows, and deal frameworks using data-backed matrices and linting tools.
20.4k · bundle
Orchestration Strategy
Use when facing multiple implementation tasks that could benefit from parallelization or when deciding between solo, parallel agent, sequential subagent, or agent team approaches
1 · bundle
Bdi Soft Systems
Integration of BDI agent architecture with soft systems methodology for complex organizational problem-solving
10 · bundle
Orchestration
Use Orca orchestration for structured multi-agent coordination: threaded messages, blocking ask/reply flows, task dispatch, worker_done/escalation waits, task DAGs, decision gates, coordinator loops, or decomposing work across agents. Use `orca-cli` instead for full ownership handoffs, including requests phrased as "hand off", "handoff", "handover", "give this to another agent", or "another worktree" when the user did not explicitly ask to supervise, monitor, wait for results, or coordinate a DAG. Use `orca-cli` for ordinary terminal control, lightweight terminal prompts, shell commands, Orca worktree management, reading or waiting on terminals, and automation of the browser embedded inside Orca. Use Computer Use for browser windows, webviews, Orca app UI, or desktop UI outside Orca's embedded browser.
0
Agent Governance
Add governance, safety, and trust controls to AI agent systems with policy enforcement, intent classification, and audit trails.
36.2k
Enterprise Agent Ops
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
226k
Oracle
Best practices for using the oracle CLI (prompt + file bundling, engines, sessions, and file attachment patterns).
0
Goals
Optimize prompts via process goals (controllable behavioral instructions) rather than outcome goals (sparse end-result demands). Grounded in sports psychology meta-analysis showing process goals (d=1.36) vastly outperform outcome goals (d=0.09). Use when designing prompts, optimizing LLM steering, implementing CoT/decomposition patterns, or building automatic prompt optimization pipelines. Instantiates surrogate loss paradigm for discrete prompt space.
0