AGENT SKILLS · MISSION KIT
Useful agent skills ranked by real adoption
Browse verified skills from public repositories. Compare what each skill does, package contents, install activity, and source evidence before adding it to your agent.
- CATALOG SCOPE
- VERIFIED
- skills
- 22,797
- repositories
- 3512
- last synced
- Nov 1, 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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiformulate-research-question
Convert a hypothesis into a precise research question with fit-for-purpose framework, scope, feasibility, and success criteria.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aigenerate-competing-hypotheses
Generate mechanism-distinct explanations rather than superficial paraphrases.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-ailist-undesirable-effects
List observable undesirable effects with evidence and severity as starting points for constraint/root-cause analysis.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aimap-stakeholder-jobs
Represent stakeholder jobs, desired outcomes, pains, gains, dependencies, and conflicts relevant to the research target.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aimap-threat-surface
Enumerate attackable dimensions of an artifact and rate exposure/accessibility.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-ainegate-claim
Produce a scope-preserving logical negation of a claim or assumption.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-ainormalize-gap
Normalize heterogeneous gap records into a comparable schema before decision operations.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiparse-patent-claim
Parse independent/dependent claim structure, extract elements, and map claim features to technical functions/domains.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiplan-effect-size
Choose effect-size estimands and required conversions/calculation rules appropriate to the outcomes and design.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-airepresent-mechanism-edge
Represent a directed mechanism edge with pathway, sign/direction, assumptions, falsifier, strength, and evidence provenance.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
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.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiselect-experimental-baseline
Select fair SOTA/simple/oracle/control baselines with provenance and rationale matched to the experimental claim.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiselect-from-frontier
Select a preferred frontier point/portfolio and state the sacrificed alternatives/tradeoffs.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiselect-inventive-principle
Select one or more inventive principles appropriate to a contradiction or transformation objective and state why each principle applies.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiselect-next-pair
Select the next comparison pair to maximize expected information gain.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiselect-statistical-method
Select statistical inference/estimation method from design, distribution, sample size, pairing, multiplicity, and decision objective.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aisensitivity-analysis
Quantify which parameters, assumptions, interactions, or uncertainties dominate the conclusion; select Morris/Sobol/perturbation/Monte-Carlo as modes.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aispecify-metrics
Define primary/secondary metrics, estimands, directionality, uncertainty reporting, and decision thresholds before analysis.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aispecify-reproducibility-protocol
Define exact/statistical/conceptual reproduction target and the controls needed to test it.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29