AGENT SKILLS · ÉQUIPEMENT DE MISSION
Des Agent Skills utiles classés selon leur usage réel
Comparez les Skills vérifiés par fonction, contenu, installations et fiabilité de la source avant de les ajouter.
- PÉRIMÈTRE
- VÉRIFIÉ
- Skills
- 22 797
- dépôts
- 3512
- dernière synchronisation
- 1 nov. 2026
yogsoth-aiextract-empirical-regularity
Extract a repeatable empirical pattern from observations, state its support and exceptions, and generalize cautiously without importing an unsupported mechanism.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiformulate-hypotheses
Generate testable hypotheses from theory, empirical regularity, anomaly, or explicit explanatory competition. Deductive, inductive, abductive, and competing-hypothesis generation are modes; discriminating predictions and comparison are activated in competing mode.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiformulate-research-question
Convert a hypothesis into a precise research question with fit-for-purpose framework, scope, feasibility, and success criteria.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aigenerate-competing-hypotheses
Generate mechanism-distinct explanations rather than superficial paraphrases.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aigenerate-counterexample
Generate a concrete counterexample candidate that satisfies the target claim's stated scope while violating its conclusion or claimed structural property; record whether exclusion would be principled or ad hoc.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-ailist-undesirable-effects
List observable undesirable effects with evidence and severity as starting points for constraint/root-cause analysis.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aimap-stakeholder-jobs
Represent stakeholder jobs, desired outcomes, pains, gains, dependencies, and conflicts relevant to the research target.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aimap-threat-surface
Enumerate attackable dimensions of an artifact and rate exposure/accessibility.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-ainegate-claim
Produce a scope-preserving logical negation of a claim or assumption.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-ainormalize-gap
Normalize heterogeneous gap records into a comparable schema before decision operations.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiparse-patent-claim
Parse independent/dependent claim structure, extract elements, and map claim features to technical functions/domains.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiplan-effect-size
Choose effect-size estimands and required conversions/calculation rules appropriate to the outcomes and design.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiproblem-reframing
Change the problem representation when the current frame is limiting: dominant-frame escape, stakeholder/worldview rotation, forced perspective shifts, dialectical/polarity reframing, or abstraction/scope shifts.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-airepresent-mechanism-edge
Represent a directed mechanism edge with pathway, sign/direction, assumptions, falsifier, strength, and evidence provenance.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-airesolve-inventive-contradiction
Turn a design or research contradiction into targeted transformations using inventive-principle and separation reasoning, then evaluate whether the transformed configuration resolves the contradiction without creating a worse one.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-critical-case
Select most-likely, least-likely, or otherwise inference-maximizing cases that can decisively support/refute a claim under explicit case-selection logic.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-experimental-baseline
Select fair SOTA/simple/oracle/control baselines with provenance and rationale matched to the experimental claim.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-from-frontier
Select a preferred frontier point/portfolio and state the sacrificed alternatives/tradeoffs.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-inventive-principle
Select one or more inventive principles appropriate to a contradiction or transformation objective and state why each principle applies.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-next-pair
Select the next comparison pair to maximize expected information gain.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aiselect-statistical-method
Select statistical inference/estimation method from design, distribution, sample size, pairing, multiplicity, and decision objective.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aisensitivity-analysis
Quantify which parameters, assumptions, interactions, or uncertainties dominate the conclusion; select Morris/Sobol/perturbation/Monte-Carlo as modes.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aispecify-metrics
Define primary/secondary metrics, estimands, directionality, uncertainty reporting, and decision thresholds before analysis.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.
yogsoth-aispecify-reproducibility-protocol
Define exact/statistical/conceptual reproduction target and the controls needed to test it.
- Installations / 1h
- 1
- GitHub Stars
- 505
- Mis à jour
- 29 sept.