Extreme Clarity

Context-blind agents

Skills spawn subagents without conversation context, ensuring fresh perspectives that aren't anchored to the user's existing framing

Friction preservation

Dissent and disagreement aren't smoothed away by summarization — conflicting views are presented as-is for the user to resolve

clarify framing

Sharpens problem and goal statements

Creates an initial framing of the user's intent, then spawns a context-blind agent to evaluate it for precision, clarity, completeness, and scope. If gaps are found, it asks targeted clarifying questions. A second agent then checks whether the problem could be better framed at a different level of abstraction — surfacing alternative framings the user may not have considered.

breakdown problem

Breaks problems into independent parts

Proposes an initial decomposition, then iteratively validates it against MECE criteria using a context-blind auditor. The auditor checks that parts are mutually exclusive, collectively exhaustive, at uniform abstraction levels, and actionable. The loop continues until all criteria pass — preventing the common failure of breakdowns that look clean but overlap or miss dimensions.

test thesis

Tests hypotheses under adversarial scrutiny

Spawns two parallel context-blind agents: an Analyst who builds the strongest case FOR the thesis (extracting supporting evidence and validating patterns) and a Skeptic who builds the case AGAINST (finding counter-evidence, alternative interpretations, and logical gaps). Each then sees the other's findings and refines their position. The result is a defensibility spectrum — solid ground, contested claims, and unsupported claims — rather than a binary verdict.

stress test decision

Surfaces concerns the user hasn't considered

Identifies the decision as a clear proposition, then spawns a context-blind agent to generate challenges — hidden assumptions, practical risks, opportunity costs, and second-order effects. Results are filtered through relevance, novelty, importance, and actionability gates. Only concerns that survive all four filters are presented. If nothing survives, the user is told the decision was stress-tested with no new issues found.

audit options

Checks whether options are well-constructed before evaluation

Before the user evaluates a set of options, a context-blind agent tests them against seven framing integrity criteria: missing options, dimensional collapse, description asymmetry, criteria rigging, false exclusivity, scope mismatch, and constraint fabrication. Marginal or checklist-filling concerns are calibrated out. If real issues survive, they're raised before evaluation begins — not after a choice has already been made.

brainstorm

Generates diverse ideas using parallel perspective agents

Frames the problem as "How Might We" questions, then selects 2–4 diversity primes — different lenses or contextual variations designed to push thinking in different directions. Each prime gets its own parallel agent that generates 5 ideas from that perspective. Results are automatically consolidated using the grouping skill below.

group ideas

Consolidates raw ideas into strategic themes

Takes a raw list of ideas, deduplicates across sources, clusters similar items, and creates 2–7 strategic themes at a uniform abstraction level. Validates that themes are MECE, actionable, and collectively complete. Used automatically after brainstorming, or standalone when ideas accumulate organically in conversation.

1. Open the plugin manager in Claude Code

/plugin

2. Add the Extreme Clarity marketplace

extremeclarity/claude-plugins