Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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integrate-skill
Adapts an external skill into project-specific development guidelines in .trellis/spec/. Creates guideline sections, code example templates with .template suffix, and updates spec indexes. Use when integrating an external skill, adding a new skill's patterns to project conventions, or incorporating third-party skill best practices into .trellis/spec/ documentation.
mindfold-ai/Trellis 5,124
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record-session
Records completed work progress to .trellis/workspace/ journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.
mindfold-ai/Trellis 5,124
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break-loop
Deep post-fix bug analysis across five dimensions: root cause categorization, fix failure analysis, prevention mechanisms, systematic expansion, and knowledge capture. Updates .trellis/spec/ guides with lessons learned to prevent recurring bugs. Use when a debugging session completes, after fixing a tricky bug, when the same class of bug keeps recurring, or when you want to capture debugging insights into project documentation.
mindfold-ai/Trellis 5,124
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brainstorm
Collaborative requirements discovery session optimized for AI coding workflows. Creates task directories, seeds PRDs, runs codebase research, proposes concrete implementation approaches with trade-offs, and converges on MVP scope through structured Q&A. Use when requirements are unclear, multiple implementation paths exist, trade-offs need evaluation, or a complex feature needs scoping before development.
mindfold-ai/Trellis 5,124
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before-dev
Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.
mindfold-ai/Trellis 5,124
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onboard
Interactive three-part onboarding for new team members to the Trellis AI-assisted workflow system. Covers core philosophy (AI memory, project-specific knowledge, context drift), system structure and command deep-dives, real-world workflow examples, and guideline customization. Use when a new developer joins the project, someone needs to understand the Trellis workflow, or project guidelines need initial setup.
mindfold-ai/Trellis 5,124
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create-command
Scaffolds a new skill file with proper naming conventions and structure. Analyzes requirements to determine skill type and generates appropriate content. Use when adding a new developer workflow skill, creating a custom skill, or extending the Trellis skill set.
mindfold-ai/Trellis 5,124
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finish-work
Pre-commit quality checklist covering lint, typecheck, tests, code-spec sync, API changes, database migrations, cross-layer verification, and manual testing. Blocks commit if infra or cross-layer specs lack executable depth. Use when code is written and tested but not yet committed, before submitting changes, or as a final review before git commit.
mindfold-ai/Trellis 5,124
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update-spec
Captures executable contracts and coding knowledge into .trellis/spec/ documents after implementation, debugging, or design decisions. Enforces code-spec depth for infra and cross-layer changes with mandatory sections for signatures, contracts, validation matrices, and test points. Use when a feature is implemented, a bug is fixed, a design decision is made, a new pattern is discovered, or cross-layer contracts change.
mindfold-ai/Trellis 5,124
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check
Validates recently written code against project-specific development guidelines from .trellis/spec/. Identifies changed files via git diff, discovers applicable spec modules, runs lint and typecheck, and reports guideline violations. Use when code is written and needs quality verification, to catch context drift during long sessions, or before committing changes.
mindfold-ai/Trellis 5,124
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check-cross-layer
Post-implementation verification across multiple code dimensions: cross-layer data flow, code reuse analysis, import path validation, and same-layer consistency checks. Identifies missed update sites, type mismatches, and duplicated constants. Use when changes span 3+ architectural layers, after modifying shared constants or configs, after batch file modifications, or when creating new utility functions.
mindfold-ai/Trellis 5,124
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start
Initializes an AI development session by reading workflow guides, developer identity, git status, active tasks, and project guidelines from .trellis/. Classifies incoming tasks and routes to brainstorm, direct edit, or task workflow. Use when beginning a new coding session, resuming work, starting a new task, or re-establishing project context.
mindfold-ai/Trellis 5,124
-
integrate-skill
Adapts an external skill into project-specific development guidelines in .trellis/spec/. Creates guideline sections, code example templates with .template suffix, and updates spec indexes. Use when integrating an external skill, adding a new skill's patterns to project conventions, or incorporating third-party skill best practices into .trellis/spec/ documentation.
mindfold-ai/Trellis 5,124
-
record-session
Records completed work progress to .trellis/workspace/ journal files after human testing and commit. Captures session summaries, commit hashes, and updates developer index files for future session context. Use when a coding session is complete, after the human has committed code, or to persist session knowledge for future AI sessions.
mindfold-ai/Trellis 5,124
-
break-loop
Deep post-fix bug analysis across five dimensions: root cause categorization, fix failure analysis, prevention mechanisms, systematic expansion, and knowledge capture. Updates .trellis/spec/ guides with lessons learned to prevent recurring bugs. Use when a debugging session completes, after fixing a tricky bug, when the same class of bug keeps recurring, or when you want to capture debugging insights into project documentation.
mindfold-ai/Trellis 5,124
-
brainstorm
Collaborative requirements discovery session optimized for AI coding workflows. Creates task directories, seeds PRDs, runs codebase research, proposes concrete implementation approaches with trade-offs, and converges on MVP scope through structured Q&A. Use when requirements are unclear, multiple implementation paths exist, trade-offs need evaluation, or a complex feature needs scoping before development.
mindfold-ai/Trellis 5,124
-
before-dev
Discovers and injects project-specific coding guidelines from .trellis/spec/ before implementation begins. Reads spec indexes, pre-development checklists, and shared thinking guides for the target package. Use when starting a new coding task, before writing any code, switching to a different package, or needing to refresh project conventions and standards.
mindfold-ai/Trellis 5,124
-
onboard
Interactive three-part onboarding for new team members to the Trellis AI-assisted workflow system. Covers core philosophy (AI memory, project-specific knowledge, context drift), system structure and command deep-dives, real-world workflow examples, and guideline customization. Use when a new developer joins the project, someone needs to understand the Trellis workflow, or project guidelines need initial setup.
mindfold-ai/Trellis 5,124
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parallel
Multi-agent pipeline orchestrator that plans and dispatches parallel development tasks to worktree agents. Reads project context, configures task directories with PRDs and jsonl context files, and launches isolated coding agents. Use when multiple independent features need parallel development, orchestrating worktree agents, or managing multi-agent coding pipelines.
mindfold-ai/Trellis 5,124
-
create-command
Scaffolds a new skill file with proper naming conventions and structure. Analyzes requirements to determine skill type and generates appropriate content. Use when adding a new developer workflow skill, creating a custom skill, or extending the Trellis skill set.
mindfold-ai/Trellis 5,124
-
finish-work
Pre-commit quality checklist covering lint, typecheck, tests, code-spec sync, API changes, database migrations, cross-layer verification, and manual testing. Blocks commit if infra or cross-layer specs lack executable depth. Use when code is written and tested but not yet committed, before submitting changes, or as a final review before git commit.
mindfold-ai/Trellis 5,124
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improve-ut
Analyzes changed files and improves unit test coverage using project-specific testing conventions from .trellis/spec/ unit-test specs. Determines test scope (unit vs integration vs regression), adds or updates tests following existing patterns, and runs validation. Use when code changes need test coverage, after implementing a feature, after fixing a bug, or when test gaps are identified.
mindfold-ai/Trellis 5,124
-
update-spec
Captures executable contracts and coding knowledge into .trellis/spec/ documents after implementation, debugging, or design decisions. Enforces code-spec depth for infra and cross-layer changes with mandatory sections for signatures, contracts, validation matrices, and test points. Use when a feature is implemented, a bug is fixed, a design decision is made, a new pattern is discovered, or cross-layer contracts change.
mindfold-ai/Trellis 5,124
-
check
Validates recently written code against project-specific development guidelines from .trellis/spec/. Identifies changed files via git diff, discovers applicable spec modules, runs lint and typecheck, and reports guideline violations. Use when code is written and needs quality verification, to catch context drift during long sessions, or before committing changes.
mindfold-ai/Trellis 5,124