Always use this skill when querying, exploring, or analyzing existing data in a Pigment workspace. Covers the analysis workflow, query formulation, data concepts, analysis patterns, ambiguity handling, and result interpretation.
EnglishAlways use when creating or editing a Board. This skill includes supporting files in this directory - explore as needed.
EnglishAlways use this skill when creating or editing Views, or needing to pick a View.
EnglishBest practices for metric default formatting. Covers: decimals, prefix, suffix, currency ($/€), percent (%), K/M/bp/thousand/million scaling, thousand separator, sign / zero / negative handling, text mode (Text / Rich Text / URL / Image / LocaleDateTime), boolean display (checkbox / button). Load when setting or changing a metric's default format. Trigger phrases: format as, display as, show as percent, in millions, two decimals, no decimals, prefix with $, add currency, as K / M / bp, rich text, checkbox, ratio, url, multiplier.
EnglishAlways use this skill when creating new lists to import CSV data into, importing CSV files into Pigment, mapping CSV columns to properties, deciding whether to import into dimensions vs transaction lists, configuring cross-application imports, troubleshooting data import issues, or importing excel files. This skill includes supporting files in this directory - explore as needed.
EnglishAlways use this skill when designing or modifying Pigment applications. Provides the mental model of a Pigment app (Application, Dimensions, Calendars, Metrics, Transaction Lists, Tables), the core concepts (dimension list vs property vs transaction list, metric vs table, sparsity, scope), the canonical order of architecture decisions, a minimal viable application pattern and pointers to deeper-dive docs (architecture, naming, hierarchies, calendars, principles, folders, subsets, performance).
EnglishAlways use this skill when troubleshooting slow calculations or timeouts, analyzing profiler output to identify bottlenecks, understanding scope propagation, managing sparsity, optimizing formula performance, improving iterative calculations, optimizing access rights performance, conducting systematic performance audits, auditing a Pigment application (modeling, formula hygiene, folders, boards, governance), cleaning unused dimensions, metrics, tables, properties, or boards, identifying dead or stale boards, or removing unused metrics. Modeler-agent skill for Performance Insights tools (performanceprofilechange, gettopblocksbyperformance), then classify and fix. Provides the optimization loop, audit vs cleaning modes, and routing to deep dives. Always profile before formula changes; never optimize from assumptions.
EnglishAlways use this skill when the user mentions or implies versions, Actual, Actuals, Budget, Budgeting, Forecast, Reforecast, Rolling Forecast, Version, Versioning, Plan, switchover, scenarios, snapshots, planning cycles, Actual/Plan layering, plan vs actual, "create version dimension", "set up versioning", or asks for Actual Budget Forecast best practices — or when they extend realized data into a plan or budget (Actual/Budget/Plan layering, forward forecast from actuals) or need to combine or compare actual and plan versions and periods. Covers Version Dimensions (foundational to all planning applications), Native Scenarios (what-if), and Snapshots (freeze data).
EnglishAlways use this skill when designing, applying, or debugging Access Rights and security in Pigment applications. Provides the AR mental model (User, Role, dimension axis, AR Metric, Apply rule), the canonical decision order, mandatory formula patterns (IFDEFINED guard, BLANK over FALSE), multi-app AR, debugging "why can this user see / not see this data?", and security governance. AR is part of model architecture, not an afterthought.
EnglishAlways use this skill when building or extending models for specific planning domains — FP&A, Workforce Planning, Sales Performance Management, Supply Chain Planning, or Financial Consolidation. Covers proven modeling patterns and domain-specific best practices. This skill includes supporting files in this directory - explore as needed.
EnglishAlways use this skill when writing, editing, or debugging Pigment formulas — including conditional logic, blank handling, date-range logic, aggregation, prior-period lookups, and dimensional transformations. Pigment uses a proprietary formula language — NEVER assume you know the syntax, and ALWAYS read the documentation before writing any formula. Covers data types, modifiers, functions, calculation patterns, and performance trade-offs (calibrated by formula complexity). This skill includes supporting files in this directory; explore as needed.
EnglishIncludes Analyzing Pigment Data, Designing Boards, Designing Views, and other workflows.
Supported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Analyzing Pigment Data
Always use this skill when querying, exploring, or analyzing existing data in a Pigment workspace. Covers the analysis workflow, query formulation, data concepts, analysis patterns, ambiguity handling, and result interpretation.
Designing Boards
Always use when creating or editing a Board. This skill includes supporting files in this directory - explore as needed.
Designing Views
Always use this skill when creating or editing Views, or needing to pick a View.
Formatting and Highlighting
Best practices for metric default formatting. Covers: decimals, prefix, suffix, currency ($/€), percent (%), K/M/bp/thousand/million scaling, thousand separator, sign / zero / negative handling, text mode (Text / Rich Text / URL / Image / LocaleDateTime), boolean display (checkbox / button). Load when setting or changing a metric's default format. Trigger phrases: format as, display as, show as percent, in millions, two decimals, no decimals, prefix with $, add currency, as K / M / bp, rich text, checkbox, ratio, url, multiplier.
Integrating External Data
Always use this skill when creating new lists to import CSV data into, importing CSV files into Pigment, mapping CSV columns to properties, deciding whether to import into dimensions vs transaction lists, configuring cross-application imports, troubleshooting data import issues, or importing excel files. This skill includes supporting files in this directory - explore as needed.
Modeling Pigment Applications
Always use this skill when designing or modifying Pigment applications. Provides the mental model of a Pigment app (Application, Dimensions, Calendars, Metrics, Transaction Lists, Tables), the core concepts (dimension list vs property vs transaction list, metric vs table, sparsity, scope), the canonical order of architecture decisions, a minimal viable application pattern and pointers to deeper-dive docs (architecture, naming, hierarchies, calendars, principles, folders, subsets, performance).
Optimizing Pigment Performance
Always use this skill when troubleshooting slow calculations or timeouts, analyzing profiler output to identify bottlenecks, understanding scope propagation, managing sparsity, optimizing formula performance, improving iterative calculations, optimizing access rights performance, conducting systematic performance audits, auditing a Pigment application (modeling, formula hygiene, folders, boards, governance), cleaning unused dimensions, metrics, tables, properties, or boards, identifying dead or stale boards, or removing unused metrics. Modeler-agent skill for Performance Insights tools (performanceprofilechange, gettopblocksbyperformance), then classify and fix. Provides the optimization loop, audit vs cleaning modes, and routing to deep dives. Always profile before formula changes; never optimize from assumptions.
Planning Cycles Pigment Applications
Always use this skill when the user mentions or implies versions, Actual, Actuals, Budget, Budgeting, Forecast, Reforecast, Rolling Forecast, Version, Versioning, Plan, switchover, scenarios, snapshots, planning cycles, Actual/Plan layering, plan vs actual, "create version dimension", "set up versioning", or asks for Actual Budget Forecast best practices — or when they extend realized data into a plan or budget (Actual/Budget/Plan layering, forward forecast from actuals) or need to combine or compare actual and plan versions and periods. Covers Version Dimensions (foundational to all planning applications), Native Scenarios (what-if), and Snapshots (freeze data).
Securing Pigment Applications
Always use this skill when designing, applying, or debugging Access Rights and security in Pigment applications. Provides the AR mental model (User, Role, dimension axis, AR Metric, Apply rule), the canonical decision order, mandatory formula patterns (IFDEFINED guard, BLANK over FALSE), multi-app AR, debugging "why can this user see / not see this data?", and security governance. AR is part of model architecture, not an afterthought.
Solving Specific Use Cases
Always use this skill when building or extending models for specific planning domains — FP&A, Workforce Planning, Sales Performance Management, Supply Chain Planning, or Financial Consolidation. Covers proven modeling patterns and domain-specific best practices. This skill includes supporting files in this directory - explore as needed.
Writing Pigment Formulas
Always use this skill when writing, editing, or debugging Pigment formulas — including conditional logic, blank handling, date-range logic, aggregation, prior-period lookups, and dimensional transformations. Pigment uses a proprietary formula language — NEVER assume you know the syntax, and ALWAYS read the documentation before writing any formula. Covers data types, modifiers, functions, calculation patterns, and performance trade-offs (calibrated by formula complexity). This skill includes supporting files in this directory; explore as needed.
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- Choose your skills. Select individual skills above, or choose the entire pack.
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After installation, start with a request like:
Use the Analyzing Pigment Data skill to help with my task.
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