64 skills found Β· Page 2 of 3
gamedev-skills / ai-behavior-trees-utility-aiBuild a production behavior-tree runtime (Blackboard, action/condition leaves, sequence/selector/parallel composites, decorators) and a Utility AI system (response curves β linear, exponential, sigmoid, quadratic β considerations, and action evaluators), plus hybrid BT-drives-Utility agents
gamedev-skills / unity-physicsSet up 3D physics in Unity 6.3 LTS: Rigidbody movement and forces, colliders, triggers vs collisions, layer-based collision, raycasts, and joints
gamedev-skills / godot-audioPlay and mix audio in Godot 4.7: AudioStreamPlayer (2D/3D variants), audio buses with volume/mute and effects, music vs SFX routing, db/linear volume, and precise sync-to-beat playback timing
matlab / matlab-design-radar-waveformDesign, select, and analyze waveforms for radar, sonar, and active sensing using the Phased Array System Toolbox. Covers LFM, NLFM, FMCW, phase-coded, CW, stepped FM, custom IQ, ambiguity functions, sidelobe reduction, and Doppler tolerance.
matlab / matlab-identify-linear-systemIdentify a linear dynamic model from input-output or time-series data using MATLAB System Identification Toolbox
rampstackco / brand-archetype-systemApply pre-composed aesthetic archetype defaults to jumpstart brand design work covering color, typography, layout, voice, and imagery direction.
taracodlabs / linearManage Linear issues, projects, and cycles via the Linear GraphQL API
coreyhaines31 / pmWhen you want to manage projects across your businesses using a kanban + Eisenhower methodology. One kanban per business (whatever portfolio of businesses, projects, or initiatives you run).
borghei / tech-debt-trackerScan codebases for technical debt with AST parsing, prioritize by impact, and generate trend dashboards
product-on-purpose / tool-note-and-voteStructured group-decision mechanic that captures silent ideation, voting summaries, and Decider sign-off in a single bundled artifact
product-on-purpose / tool-foundation-sprint-founding-hypothesisDay 2 end capstone move of a Foundation Sprint. Compresses the sprint's full strategic frame into a single canonical sentence (the Founding Hypothesis) plus an assumption scorecard, why-we-believe, what-could-prove-us-wrong, and recommended next validation step. Use after Magic Lenses is signed.
product-on-purpose / tool-design-sprint-map-and-targetDay 1 (Monday) move of a Design Sprint that produces the bundled Monday artifact containing long-term goal, sprint questions (3-7 testable risks), customer or system map (5-15 step flow), expert interview notes, HMW (How Might We) cluster board, and the Decider's chosen target moment.
product-on-purpose / tool-design-sprint-readinessPre-sprint diagnostic that determines whether a team should run a Design Sprint now, postpone it, or do prerequisite work first. Produces a Go / Conditional Go / Wait verdict with diagnosis, recommended preconditions, attendee list, customer recruiting plan, and pre-sprint activities
product-on-purpose / tool-design-sprint-sketchDay 2 (Tuesday) move of a Design Sprint that structures lightning demos and the four-step independent solution sketch protocol (Notes, Ideas, Crazy 8s, Solution Sketch).
product-on-purpose / tool-foundation-sprint-approach-optionsDay 2 morning move of a Foundation Sprint. Forces generation of 3 to 7 candidate approaches as one-page summaries before the team converges on a top bet. Use after Day 1 is signed and before Magic Lenses on Day 2 afternoon. Enforces a minimum of 3 approaches to prevent first-idea anchoring.
product-on-purpose / tool-foundation-sprint-basicsDay 1 morning move of a Foundation Sprint. Forces explicit team choices on target customer, important problem, team advantage, and competitors and alternatives. Produces a single coherent strategic frame that becomes the input to Day 1 afternoon Differentiation.
product-on-purpose / tool-foundation-sprint-briefPre-sprint brief that locks scope, the decision the sprint must unlock, team and role assignments, logistics, inputs to bring, and success criteria before Day 1 of a Foundation Sprint. Use after the readiness verdict is Go and before the sprint begins.
product-on-purpose / tool-foundation-sprint-magic-lensesDay 2 afternoon move of a Foundation Sprint. Evaluates the candidate approach set through multiple lenses (4 classic plus at least 1 custom) to surface trade-offs, identify consistent winners and contradictions, and produce a top bet plus a backup plan. Use after Approach Options is signed.
product-on-purpose / tool-foundation-sprint-readinessPre-sprint diagnostic that determines whether a team should run a Foundation Sprint now, postpone it, or do prerequisite work first. Produces a Go / Conditional Go / Wait verdict with diagnosis, recommended preconditions, attendee list, and pre-sprint activities
oliver-kriska / catchupSummarize and review what changed while you were away. Use after a weekend, vacation, or flight to check missed PRs, git commits, Linear tickets, and meetings β one prioritized brief, not a firehose.
aiskillstore / linearManages Linear issues, teams, and projects via CLI. Lists issues, creates tasks, views details, links issues, and runs GraphQL queries. Must use for "my Linear issues", "create Linear task", "link issues in Linear", "Linear API query", or any Linear project management request.
jaechang-hits / statsmodels-statistical-modelingPython statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis tests. Use scikit-learn for ML; statistical-analysis for test choice.
jaechang-hits / matlab-scientific-computingMATLAB/GNU Octave numerical computing: matrices, linear algebra, ODEs, signal processing, optimization, statistics, scientific visualization. MATLAB-syntax examples run on both. For Python use numpy/scipy; for statistical modeling use statsmodels.
jaechang-hits / sympy-symbolic-mathSymbolic math in Python: exact algebra, calculus (derivatives, integrals, limits), equation solving, symbolic matrices, ODEs, code gen (lambdify, C/Fortran). Use for exact symbolic results. For numerical use numpy/scipy; for stats use statsmodels.
jaechang-hits / umap-learnUMAP dimensionality reduction for visualization, clustering prep, and feature engineering. Fast nonlinear manifold learning preserving local and global structure.
jaechang-hits / pydeseq2-differential-expressionBulk RNA-seq DE with PyDESeq2: load counts, normalize, fit negative binomial models, Wald test (BH-FDR), LFC shrinkage, volcano/MA plots. Use for two-group comparisons, multi-factor designs with batch correction, multiple contrasts.
Akxan / ppt-agent-skillπ¨ World-class AI presentation generator Β· 26 styles Β· 18 charts Β· benchmarked against Linear/Anthropic/Stripe/Apple/NYT β a Claude Code Skill that turns one sentence into design-agency-quality decks (HTML + editable PPTX)
netresearch / jira-skillAI agent plugin for Jira β CLI tools for issues, worklogs, sprints, and more | Server/DC & Cloud
SpillwaveSolutions / jiraClaude Skill For JIRA
mb-mal / pmbok6PMBOK 6th Edition β Project Management skill for AI agents. 49 ΠΏΡΠΎΡΠ΅ΡΡΠΎΠ², EVM, Agile, ΠΊΠΎΠ½ΡΡΠ°ΠΊΡΡ, ΡΠ°Π±Π»ΠΎΠ½Ρ.
