Agent instructions — decision matrix
A structured decision matrix for agent instructions, structuring it as a decision-ready comparison.
2,142 engineered scaffolds across 26 categories. Pick a category, drill into a subcategory, then open one straight into the engine.
A structured decision matrix for agent instructions, structuring it as a decision-ready comparison.
A structured proof-first brief for agent instructions, leading with the sharpest proof point first.
A structured quick-win sequence for agent instructions, sequencing the work from quick wins to deeper changes.
A structured repeatable checklist for agent instructions, building a checklist the team can rerun weekly.
A structured skim-proof draft for agent instructions, writing for a sceptical reader who skims.
A structured trade-off analysis for agent instructions, framing every trade-off against cost and effort.
A structured decision matrix for evaluation, structuring it as a decision-ready comparison.
A structured proof-first brief for evaluation, leading with the sharpest proof point first.
A structured quick-win sequence for evaluation, sequencing the work from quick wins to deeper changes.
A structured repeatable checklist for evaluation, building a checklist the team can rerun weekly.
A structured skim-proof draft for evaluation, writing for a sceptical reader who skims.
A structured trade-off analysis for evaluation, framing every trade-off against cost and effort.
A structured decision matrix for guardrails, structuring it as a decision-ready comparison.
A structured proof-first brief for guardrails, leading with the sharpest proof point first.
A structured quick-win sequence for guardrails, sequencing the work from quick wins to deeper changes.
A structured skim-proof draft for guardrails, writing for a sceptical reader who skims.
Define exactly when an agent must stop and hand to a person.
Base system prompt for a customer support agent.
A structured decision matrix for tool & function calling, structuring it as a decision-ready comparison.
A structured proof-first brief for tool & function calling, leading with the sharpest proof point first.
A structured quick-win sequence for tool & function calling, sequencing the work from quick wins to deeper changes.
A structured skim-proof draft for tool & function calling, writing for a sceptical reader who skims.
Decide which steps to automate and which must stay human.
Rules for agents to manage their own context memory during long-running tasks.
Defines the psychological and technical profile of an agent to ensure consistent tool usage.
Operational rules for when and how an agent should pause and request human intervention.
Standardizes how agents document their 'Chain of Thought' and cite sources/tools.
Establishes a hardened execution environment for agents with filesystem and network access.
Build a routing step that classifies an incoming request and dispatches it to a specialised downstream prompt, tool set and model tier.
Design a retrieval tool that writes passages to a filesystem and returns paths, plus an analyst subagent prompt that reads one passage at a time.
Set up a generate-evaluate-revise loop with explicit criteria, feedback format and stopping conditions.
Express a multi-step workflow as typed events between steps, with branching, loops, shared state and a validated event graph.
Assesses potential chemical or physical agent exposure levels based on process parameters.
Specify an agent turn format that interleaves an explicit reasoning trace with tool actions and observations, so plans can be tracked and repaired.
Author server-exposed tool definitions for a protocol tool listing, with namespaced names, display titles and validating input schemas.
Design ingestion-time metadata labelling and query-time filters that narrow the search space before semantic matching.
Instructions for an agent to sequence interdependent tool calls efficiently.
Design declarations that make independent actions callable in parallel and dependent actions chainable, then validate the resulting call plan.
Define how retrieved nodes are filtered and reordered before synthesis, and constrain the synthesiser to the surviving evidence.
Insert a rewriting step that converts conversational user questions into retrieval-optimised query forms without losing constraints.
Write the system instructions for a retrieval agent that plans queries, searches, analyses evidence, synthesises with citations and refuses to answer from memory.
Specify a router that selects one or more candidate retrievers per query based on retriever metadata and query shape.
Wire a bounded generator-validator loop inside a pipeline so malformed output is fed back for correction before continuing downstream.
Defines how an agent packages its current state when transferring a task to a different agent.
Produce a strict-mode-compliant function definition whose JSON Schema forbids extra properties and marks every field required.
Cut agent run cost while holding output quality.
Build an evaluation suite that catches regressions before users do.
Generate the opening identity/environment block of an agent prompt so the model knows who it is, where it runs and what it may assume.