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Skills IA Tests et sécurité

Découvrez les skills Tests et sécurité, comparez leurs dépôts et consultez leurs instructions.

Catégories: Tests et sécurité

17,161–17,184 sur 81,973

Tests et sécurité Effacer les filtres

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GitHub

career-document-architect

lyndonkl

Use when writing or reviewing career documents including research statements, teaching statements, diversity statements, CVs, or biosketches. Invoke when user mentions research statement, teaching philosophy, d...

GitHub

environmental-scanning-foresight

lyndonkl

Use when scanning external trends for strategic planning, monitoring PESTLE forces (Political, Economic, Social, Technological, Legal, Environmental), detecting weak signals (early indicators of change), planni...

GitHub

metrics-tree

lyndonkl

Use when setting product North Star metrics, decomposing high-level business metrics into actionable sub-metrics and leading indicators, mapping strategy to measurable outcomes, identifying which metrics to mov...

GitHub

role-switch

lyndonkl

Use when stakeholders have conflicting priorities and need alignment, suspect decision blind spots from single perspective, need to pressure-test proposals before presenting, want empathy for different viewpoin...

GitHub

prototyping-pretotyping

lyndonkl

Use when testing ideas cheaply before building (pretotyping with fake doors, concierge MVPs, paper prototypes) to validate desirability/feasibility, choosing appropriate prototype fidelity (paper/clickable/code...

GitHub

synthesis-and-analogy

lyndonkl

Use when synthesizing information from multiple sources (literature review, stakeholder feedback, research findings, data from different systems), creating or evaluating analogies for explanation or problem-sol...

GitHub

bayesian-reasoning-calibration

lyndonkl

Use when making predictions or judgments under uncertainty and need to explicitly update beliefs with new evidence. Invoke when forecasting outcomes, evaluating probabilities, testing hypotheses, calibrating co...

GitHub

estimation-fermi

lyndonkl

Use when making quick order-of-magnitude estimates under uncertainty (market sizing, resource planning, feasibility checks), decomposing complex quantities into estimable parts, bounding unknowns with upper/low...

GitHub

skill-creator

lyndonkl

Use when the user has a document (PDF, markdown, book notes, research paper, methodology guide) containing theoretical knowledge or frameworks and wants to convert it into an actionable, reusable skill. Invoke...

GitHub

deliberation-debate-red-teaming

lyndonkl

Use when testing plans or decisions for blind spots, need adversarial review before launch, validating strategy against worst-case scenarios, building consensus through structured debate, identifying attack vec...

GitHub

financial-unit-economics

lyndonkl

Use when evaluating business model viability, analyzing profitability per customer/product/transaction, validating startup metrics (CAC, LTV, payback period), making pricing decisions, assessing scalability, co...

GitHub

evaluation-rubrics

lyndonkl

Use when need explicit quality criteria and scoring scales to evaluate work consistently, compare alternatives objectively, set acceptance thresholds, reduce subjective bias, or when user mentions rubric, scori...

GitHub

adr-architecture

lyndonkl

Use when documenting significant technical or architectural decisions that need context, rationale, and consequences recorded. Invoke when choosing between technology options, making infrastructure decisions, e...

GitHub

market-mechanics-betting

lyndonkl

Use to convert probabilities into decisions (bet/pass/hedge) and optimize scoring. Invoke when need to calculate edge, size bets optimally (Kelly Criterion), extremize aggregated forecasts, or improve Brier sco...

GitHub

systems-thinking-leverage

lyndonkl

Use when problems involve interconnected components with feedback loops (reinforcing or balancing), delays, or emergent behavior where simple cause-effect thinking fails. Invoke when identifying leverage points...

GitHub

grant-proposal-assistant

lyndonkl

Use when writing or reviewing NIH, NSF, or foundation grant proposals. Invoke when user mentions specific aims, R01, R21, K-series, significance, innovation, approach section, grant writing, proposal review, re...

GitHub

skill-improver

bfollington

This skill should be used at natural checkpoints (after completing complex tasks, at session end, or when friction occurs) to reflect on skill and process execution and identify targeted improvements. Use when...

GitHub

domain-driven-design

bfollington

This skill should be used whenever domain modeling is taking place. It provides specialized guidance for type-driven and data-driven design based on Rich Hickey and Scott Wlaschin's principles. The skill helps...

GitHub

strudel

bfollington

This skill should be used when working with Strudel.cc, a live-coding music environment. Use when creating musical patterns, drum sequences, melodies, basslines, or generative compositions. The user will always...

GitHub

godot

bfollington

This skill should be used when working on Godot Engine projects. It provides specialized knowledge of Godot's file formats (.gd, .tscn, .tres), architecture patterns (component-based, signal-driven, resource-ba...

GitHub

bevy

bfollington

This skill should be used when working on Bevy game engine projects. It provides specialized knowledge for Bevy's Entity Component System (ECS) architecture, component-driven design patterns, system ordering, U...

GitHub

shadertoy

bfollington

This skill should be used when working with Shadertoy shaders, GLSL fragment shaders, or creating procedural graphics for the web. Use when writing .glsl files, implementing visual effects, creating generative...

GitHub

deployment-sop

bybren-llc

Deployment workflows, pre-deploy validation, and smoke testing patterns. Use when deploying to staging or production, running smoke tests, or validating deployments.

GitHub

deployment-sop

bybren-llc

Deployment workflows, pre-deploy validation, and smoke testing patterns. Use when deploying to staging or production, running smoke tests, or validating deployments.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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