Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Shapes agent behavior via instruction framing and style transfer. Use when composing dispatch prompts or writing skill instructions for parallel review agents.
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See how to installReview the instructions the agent will receive before you install.
Shape agent behavior by framing instructions for optimal performance. Distinct from context engineering (packing the right information), this skill addresses HOW instructions are framed to put agents in productive mental states.
Replace threat-based prompting with calm, confident instructions. Fear-based prompts cause rushing and corner-cutting.
Load module: modules/emotional-framing.md
Inject exemplar code or prose into context before requesting output. Agents reproduce stylistic attributes from pre-loaded samples.
Load module: modules/style-gene-transfer.md
Frame multi-agent review dispatch with competitive incentives to increase rigor and thoroughness.
Load module: modules/competitive-review.md
Name a published standard to pull a whole writing register into output at a cost of one line. Cheaper than exemplar injection and coarser, with a known mid-session decay.
Load module: modules/named-register-invocation.md
| Technique | When | Module |
|---|---|---|
| Emotional framing | Any agent prompt | emotional-framing |
| Style gene transfer | Code/doc generation | style-gene-transfer |
| Competitive review | 3+ parallel reviewers | competitive-review |
| Named register | Operator or procedural text | named-register-invocation |
Framing shapes a delegate's output as much as it shapes a model's prose. Before dispatching, establish what model the delegate runs, what tools it has, and what project context it lacks, then write the prompt as a proposal rather than a procedure.
See modules/know-your-delegate.md.
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
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