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-aiconceptual-blending
Construct multiple input spaces, extract a shared generic space, selectively project structure into a blend, and simulate emergent properties that are not present in either source alone.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiconstruct-causal-model
Construct and validate an explicit causal model with measurable variables, mechanism edges, evidence links, feedback loops, interventions, counterevidence, and confidence.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiconstruct-validity-envelope
Synthesize multi-axis breakpoints into a multidimensional statement of where a claim/method remains valid.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aicoverage-white-space-search
Map known methods against problem/parameter space and generate candidates from uncovered and weakly covered intersections. Acquisition mechanism is runtime-selected.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aicross-examine
Probe responses for inconsistency, logic gaps, and unsupported claims.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidecompose-and-or-goal
Recursively decompose a goal into an AND/OR DAG whose leaves are executable or testable subgoals.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidefine-analysis-dimensions
Identify approximately independent dimensions/axes that span the relevant problem, design, or validity space and define their semantics.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidefine-evidence-protocol
Define research questions, evidence scope, queries/concepts, inclusion/exclusion rules, provenance requirements, and stopping evidence for an acquisition task.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidefine-objective
Formalize objectives, constraints, and tradeoff preferences for optimization.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidesign-discriminating-prediction
Construct a prediction that yields different outcomes under competing hypotheses.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidesign-falsification-test
Specify a concrete observation, computation, intervention, counterexample, or measurement that would count against the sharpened claim, prioritizing cheap high-information tests.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidestructive-ideation
Break fixation by surfacing assumptions and applying deliberate provocation modes (reversal, negation, random entry, exaggeration, extreme/zero-resource constraint, distortion), then extract constructive movement and synthesize candidate directions.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidetect-breakpoint
Locate the point or region where performance/validity changes regime or the claim flips.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidetect-feedback-loop
Detect and characterize reinforcing/balancing feedback loops, participating variables, delays, and possible breakpoints.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidiscover-biological-analog
Identify biological systems that achieve the target function under comparable constraints, without assuming surface similarity.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidocument-counterclaim
Construct a counterclaim, identify its target claim, contradiction type, assumptions, and supporting evidence requirements.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aidowngrade-equivalence-claim
When full equivalence fails, downgrade to the strongest defensible relation (e.g. substructure, homomorphism, shared invariant, analogy) and record exactly what ceased to be preserved.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aienumerate-combinations
Construct combinations across dimensions/values without prematurely judging them.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aienumerate-validator-assumptions
Enumerate assumptions embedded in a validator/test/sandbox, including data-generation, measurement, simulator, oracle, metric, initialization, and acceptance assumptions.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiestimate-effective-evidence-count
Estimate an effective number of independent evidence/reasoning paths after discounting dependence/correlation; report nominal N, dependence structure, and Neff.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aievaluate-necessity-sufficiency
Test whether a proposed cause/mechanism is necessary and/or sufficient under controlled counterfactual or intervention comparisons.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiexplore-dimensional-space
Represent a problem/research space as validated dimensions and values, enumerate compatible combinations, and optionally map occupancy, detect gaps, prioritize regions, or synthesize candidate questions/ideas.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiextract-constructive-movement
Convert an initially absurd/destructive provocation into concrete useful directions.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29
yogsoth-aiextract-core-conflict
Represent a core constraint conflict in an Evaporating-Cloud-like structure with explicit assumptions on every dependency.
- 1h installs
- 1
- GitHub stars
- 505
- Updated
- Sep 29