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SkillsMP a collecté 655 skills depuis benjam3n/reasoningtool. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 40 skills collectés sur 655.
Route any input through a branching question tree to narrow down the optimal response strategy before writing. Two stages — PERCEIVE (classify input) then ACT (select response). Covers all prompt types.
Langue du texte source : anglais
Generate exhaustive guesses about user input using ALL search methods with coverage tracking. Guessing is SEARCH through possibility space. Tracks space created vs space covered to ensure comprehensive exploration.
Langue du texte source : anglais
Systematically evaluate and select from a set of guesses, options, or possibilities. Combines ARAW analysis with prioritization to determine which guesses are strong, weak, actionable, or eliminable.
Langue du texte source : anglais
Extract hidden assumptions from any content. Surfaces what must be true for claims to hold, enabling deeper analysis.
Langue du texte source : anglais
Sub-orchestrator for analytical requests. Routes to decomposition, systems analysis, comparison, risk assessment, or synthesis based on what kind of analysis is needed.
Langue du texte source : anglais
Assume Right - Deep recursive rightness search. For every claim, assume it's right — find what must follow, then assume THOSE implications are right too. Recurse until bedrock. Track every claim found.
Langue du texte source : anglais
Sub-orchestrator for claims and assertions. Routes to ARAW-based testing with appropriate depth, balance, and supplementary analysis skills.
Langue du texte source : anglais
Sub-orchestrator for decisions. Routes to comparison, ARAW testing, dominance analysis, or goal clarification based on what the user knows and the stakes involved.
Langue du texte source : anglais
Sub-orchestrator for diagnostic questions. Routes to UAUA exploration, causal tracing, safety analysis, or direct debugging based on how much is known and the nature of the problem.
Langue du texte source : anglais
Apply universal design principles to create or improve designs. Domain-adaptive, generative, grounded in exemplars. Embeds generate → critique → iterate.
Langue du texte source : anglais
Determine how much thinking to invest in a decision. Maps stakes, reversibility, and diminishing returns to effort levels (minimum, standard, maximum).
Langue du texte source : anglais
Sub-orchestrator for emotional inputs. Acknowledges the emotion, identifies the implicit request, and routes to the appropriate analytical skill — with expanded routing for reframing, scope control, and self-check skills.
Langue du texte source : anglais
Sub-orchestrator for evaluation. Routes to ARAW, MECE validation, procedure validation, assumption extraction, risk analysis, or quality checks based on what's being assessed and what kind of evaluation is needed.
Langue du texte source : anglais
Given any prompt, decompose it into implicit sub-tasks and extract every potentially useful skill, grouped by role and prioritized with invocation-ready suggestions.
Langue du texte source : anglais
Systematic procedure for formulating testable hypotheses, designing tests, and updating beliefs based on evidence. Supports context-adaptive variants.
Langue du texte source : anglais
Take something that works but could be better. Find the highest-leverage improvements and apply them. Not for broken things (/fix) — for things that work but underperform their potential.
Langue du texte source : anglais
Meta-iteration skill. Identifies what needs iteration, at what level, in what dimension, at what scale, and what should be deleted — then executes the highest-value iteration.
Langue du texte source : anglais
The deep analysis engine. Routes input by type, applies appropriate analysis depth, produces structured understanding and action.
Langue du texte source : anglais
Systematically reframe a problem by changing the level of abstraction, stakeholder perspective, time horizon, success criteria, or constraint set. Generate genuinely different framings, not word substitutions.
Langue du texte source : anglais
Analyze and improve relationships by identifying parties, assessing state, surfacing unmet needs, and finding actionable patterns.
Langue du texte source : anglais
Generate comprehensive lists by systematically covering all dimensions. Ensures nothing is missed through structured enumeration.
Langue du texte source : anglais
Identify what situation you are actually in before attempting to solve it. Prevents the most dangerous failure: solving the wrong problem perfectly.
Langue du texte source : anglais
Construct the strongest possible version of an opposing argument before critiquing it. Ensures you're fighting the real argument, not a straw man. Includes finding the kernel of truth in positions you disagree with.
Langue du texte source : anglais
Sub-orchestrator for goals and wants. Routes to WantTo analysis to trace what the want commits you to and find the actual want.
Langue du texte source : anglais
Assume Wrong - Deep recursive wrongness search. For every claim, assume it's wrong — find why, then assume THOSE reasons are wrong too. Recurse until bedrock. Track every claim found.
Langue du texte source : anglais
Systematic procedure for searching external sources to find evidence, data, and information relevant to a question.
Langue du texte source : anglais
Goal-Oriented State Machine. Context-adaptive dispatcher that routes to the right analysis depth based on urgency, stakes, and expertise.
Langue du texte source : anglais
Detect when reasoning is actually rationalization. Mechanical checks for motivated reasoning, emotional override, and evidence asymmetry.
Langue du texte source : anglais
Systematically evaluate alternatives against weighted criteria using a structured decision matrix. Includes pairwise comparison for weighting, multi-criteria scoring, sensitivity analysis, and documented decision rationale.
Langue du texte source : anglais
Grade any LLM output as an external grader who knows nothing about the project. Identifies systematic failures in reasoning, voice, and honesty that the LLM cannot see from inside its own generation.
Langue du texte source : anglais
Detect when reasoning is working backwards from a predetermined conclusion. Surfaces the signs that the 'analysis' is actually a case built to support a thesis that was chosen before the evidence was examined.
Langue du texte source : anglais
Force a full stop and honestly answer what is actually happening right now. Catches drift, confusion, lost purpose, cargo-culting, and the moment when activity replaced thinking.
Langue du texte source : anglais
Assume Right / Assume Wrong search - For every claim, explore what follows if true (AR) and what breaks if false (AW). Number every finding. Recurse until bedrock. Compile a complete registry. Derive synthesis only from the registry.
Langue du texte source : anglais
Construct a rigorous argumentative document with thesis, evidence, counterarguments, and structured reasoning.
Langue du texte source : anglais
Break through creative or productive blocks when nothing comes to mind
Langue du texte source : anglais
Orderings for presentations, writing, and communication where sequence affects audience engagement and comprehension.
Langue du texte source : anglais
Designs a communication for any context. Identifies audience, determines goal, chooses medium, structures the message, and anticipates objections.
Langue du texte source : anglais
Sub-orchestrator for creative and content production requests. Routes to appropriate writing skills based on content type and quality needs.
Langue du texte source : anglais
Systematic procedure for generating novel ideas. Moves through divergent generation, combinatorial play, and convergent evaluation against the original need.
Langue du texte source : anglais
Develop and execute content strategy that attracts, engages, and converts
Langue du texte source : anglais