Changelog
All notable changes to this project will be documented in this file.
note
The canonical source for this changelog is CHANGELOG.md in the repository root. This page is a snapshot — check the repository for the latest entries.
The format is based on Keep a Changelog.
2026-03-06
Added
- DevOps Engineer agent (
tsh-devops-engineer) — Senior DevOps Engineer and Consultant persona specializing in Golden Paths, automation, and Cloud governance; mandatory architect sub-agent delegation for all design decisions; multi-cloud guardrails with FinOps alerts (>10% cost increase triggers alert); three-option output strategy (Golden Path, Cost-Optimized, Velocity); mandatory skill-loading chains for 8 task types; tools include AWS API MCP, AWS Docs MCP, GCP gcloud/observability/storage MCPs, Context7, Sequential Thinking - Multi-Cloud Architecture skill (
tsh-designing-multi-cloud-architecture) for selecting and integrating services across AWS, Azure, and GCP with service comparison and multi-cloud pattern references - CI/CD Implementation skill (
tsh-implementing-ci-cd) for pipeline design patterns and deployment strategies - Kubernetes Implementation skill (
tsh-implementing-kubernetes) for deployment patterns, Helm charts, and cluster management - Observability Implementation skill (
tsh-implementing-observability) for logging, monitoring, alerting, and distributed tracing patterns - Terraform Modules skill (
tsh-implementing-terraform-modules) for reusable Terraform modules across AWS, Azure, and GCP with per-cloud module references - Secrets Management skill (
tsh-managing-secrets) for secrets management patterns in cloud and Kubernetes environments - Cloud Cost Optimization skill (
tsh-optimizing-cloud-cost) for rightsizing, tagging strategies, and spending analysis with tagging standards reference - AWS cost analysis prompt (
/tsh-analyze-aws-costs) for cost optimization and tagging compliance audit with hybrid IaC + live API approach - GCP cost analysis prompt (
/tsh-analyze-gcp-costs) for cost optimization and labeling compliance audit with hybrid IaC + live API approach - Infrastructure audit prompt (
/tsh-audit-infrastructure) for multi-scope audit (AWS/Azure/GCP/K8s/CI-CD) covering security, cost, and best practices - Kubernetes deployment prompt (
/tsh-deploy-kubernetes) for deployments, Helm charts, and workload configurations - CI/CD pipeline prompt (
/tsh-implement-pipeline) for pipelines with deployment stages and environment protection - Terraform implementation prompt (
/tsh-implement-terraform) for Terraform modules and cloud infrastructure provisioning - Observability implementation prompt (
/tsh-implement-observability) for metrics, logs, traces, and alerting solutions
Changed
- Updated Architect agent (
tsh-architect) with handoff to DevOps Engineer for infrastructure implementation - Renamed 7 new infrastructure skill directories with
tsh-prefix (continuation of 2026-03-05 prefix migration) - Renamed 7 new infrastructure prompt files with
tsh-prefix - Updated all skill cross-references in architect agent, devops engineer agent, and all 7 infrastructure SKILL.md files
- Updated all skill references in 7 infrastructure prompt files
2026-03-05
Changed
- Added
tsh-prefix to all Copilot customization artifacts to prevent naming collisions when used alongside project-specific customizations - Renamed all 18 skill directories to include
tsh-prefix (e.g.,code-reviewing→tsh-code-reviewing,creating-agents→tsh-creating-agents) - Renamed all 15 prompt files to include
tsh-prefix (e.g.,/create-custom-agent→/tsh-create-custom-agent,/implement→/tsh-implement) - Renamed worker agents to include
tsh-prefix:copilot-researcher→tsh-copilot-researcher,copilot-artifact-creator→tsh-copilot-artifact-creator,copilot-artifact-reviewer→tsh-copilot-artifact-reviewer - Updated all cross-references between artifacts to use prefixed names
Added
- Naming convention instruction (
.github/instructions/naming-conventions.instructions.md) enforcingtsh-prefix on all artifact filenames, frontmatter names, and cross-references tsh-prefix explanation note in README for external users
2026-03-02
Added
- Custom agent creation prompt (
/create-custom-agent) for creating new.agent.mdfiles via the orchestrator — researches existing patterns, guides design decisions, creates and validates the agent file - Custom skill creation prompt (
/create-custom-skill) for creating newSKILL.mdfiles via the orchestrator — enforces gerund naming, creates supporting resources alongside the skill file - Custom prompt creation prompt (
/create-custom-prompt) for creating new.prompt.mdfiles via the orchestrator — identifies correct agent routing, ensures prompt follows established patterns - Custom instructions creation prompt (
/create-custom-instructions) for creating new.instructions.mdorcopilot-instructions.mdfiles via the orchestrator — helps decide between repo-level and file-scoped instructions
Changed
- Creating Agents, Creating Skills, Creating Prompts, and Creating Instructions skills marked as internal (agent-only) — hidden from the slash command menu via
user-invokable: falsein SKILL.md frontmatter while remaining accessible to agents - New
/create-custom-*prompts serve as the recommended user-facing entry points for Copilot customization workflows, replacing direct skill invocation
2026-02-27
Added
- Copilot Engineer agent (
tsh-copilot-engineer) for designing, creating, reviewing, and improving all GitHub Copilot customization artifacts — custom agents, skills, prompts, and instructions - Copilot Orchestrator agent (
tsh-copilot-orchestrator) for coordinating complex, multi-step Copilot engineering tasks by decomposing work into focused subtasks and delegating to specialized workers - Copilot Researcher worker agent (
copilot-researcher) for gathering, analyzing, and summarizing information from codebases and documentation — read-only research specialist for orchestrator delegation - Copilot Artifact Creator worker agent (
copilot-artifact-creator) for building and modifying Copilot customization artifacts based on detailed specifications — creation specialist for orchestrator delegation - Copilot Artifact Reviewer worker agent (
copilot-artifact-reviewer) for evaluating Copilot customization artifacts against best practices, workspace consistency, and structural correctness — review specialist for orchestrator delegation - Orchestrator pattern documentation (
docs/orchestrator-pattern.md) describing the orchestrator + specialized workers architecture as an alternative to monolithic agents, addressing context window degradation in complex multi-step tasks - Creating Agents skill (
creating-agents) with agent file template, structural conventions, and validation checklist for building.agent.mdfiles - Creating Skills skill (
creating-skills) with naming conventions, body structure guidelines, progressive disclosure patterns, templates, and examples for buildingSKILL.mdfiles - Creating Prompts skill (
creating-prompts) with prompt file template, workflow focus guidelines, and validation checklist for building.prompt.mdfiles - Creating Instructions skill (
creating-instructions) with templates for repository-level and granular instruction files, decision framework for instruction vs. skill placement
Changed
- Adopted gerund-form naming convention (
verb-ing+object) as the standard for all skill directories, documented in README and enforced by the Creating Skills skill - Existing skills will be adapted to follow the new gerund-form naming convention in separate upcoming pull requests
2026-02-24
Added
- Workshop Analyst agent (
tsh-workshop-analyst) for converting discovery workshop materials (transcripts, designs, codebase context) into Jira-ready epics and user stories - Transcript Processing skill (
transcript-processing) for cleaning raw workshop/meeting transcripts and extracting structured business-relevant content - Task Extraction skill (
task-extraction) for identifying and structuring epics and user stories from workshop materials - Task Quality Review skill (
task-quality-review) for analyzing extracted tasks for quality gaps, missing edge cases, and improvement opportunities - Jira Task Formatting skill (
jira-task-formatting) for transforming extracted tasks into Jira-ready format with field mapping and markdown compatibility - Workshop analysis prompts:
/workshop-analyze,/transcript-clean,/create-jira-tasks
2026-02-18
Added
- SQL & Database engineering skill covering schema design (naming conventions, primary key strategies, data types, normalisation), performant SQL writing, indexing strategies, join optimisation, locking mechanics, transactions, query debugging with EXPLAIN ANALYZE, and ORM integration (TypeORM, Prisma, Doctrine, Eloquent, Entity Framework, Hibernate, GORM). Applies to PostgreSQL, MySQL, MariaDB, SQL Server, and Oracle
2026-02-17
Added
- Frontend Implementation skill (
frontend-implementation) for accessibility, design system usage, component patterns, and performance guidelines - UI Verification skill (
ui-verification) for verification criteria, tolerances, checklists, and severity definitions
Changed
- Consolidated
tsh-frontend-software-engineeragent intotsh-software-engineer- frontend capabilities are now handled via skills - Updated
tsh-software-engineertool guidelines with frontend-specific scenarios (Figma, Playwright, design tokens) - Made skills tool-agnostic by removing hardcoded tool names
- Refactored
implement-ui.prompt.mdandreview-ui.prompt.mdto reference skills instead of duplicating content
Removed
tsh-frontend-software-engineeragent (replaced bytsh-software-engineer+ frontend skills)
2026-02-15
Added
- Code quality check prompt (
/code-quality-check) for comprehensive repository analysis covering dead code detection, duplication identification, improvement opportunities, and architecture review
2026-02-08
Added
- Technical context discovery skill for codebase exploration and understanding
Changed
- Refactored agents, prompts, and skills to follow a consistent standard
- Improved architecture-design plan example with expanded detail
- Updated implementation-gap-analysis and task-analysis examples
- Streamlined agent definitions by extracting workflow logic into prompts and skills
2026-02-07
Added
- Skills support for modular, domain-specific agent capabilities (architecture-design, code-review, codebase-analysis, e2e-testing, implementation-gap-analysis, task-analysis)
Changed
- Cleaned up repository structure
2026-02-05
Changed
- Switched default model to Claude Opus 4.6
- Updated documentation for VS Code 1.109 compatibility
2026-02-03
Removed
- GitHub MCP integration
- Copilot Spaces usage from agents
2026-01-29
Fixed
- Updated tool names to follow new VS Code naming pattern
2026-01-21
Fixed
- Updated Atlassian MCP URL to new recommended endpoint
2026-01-15
Changed
- Removed "(Preview)" label from model names in all prompt files for consistency
2026-01-08
Changed
- Updated package name
2026-01-07
Changed
- Updated agent tools for improved functionality and testing capabilities
2025-12-18
Added
- Frontend Software Engineer agent with UI implementation workflow
- UI implementation prompt with iterative UI verification process
2025-12-16
Changed
- Standardized tool names across all agents
2025-12-15
Changed
- Separated workflow instructions from agent identity definitions
2025-12-12
Added
- Language consistency guidelines for agents
Changed
- Code reviewer now runs automatically after implementation
2025-12-11
Added
- Copilot Pro license requirement documentation
2025-12-10
Changed
- Updated review prompt model to Claude Opus 4.5
2025-12-08
Added
- Domain-specific Copilot Spaces support for agents
- Code reviewer as a subagent of the software engineer
2025-12-02
Added
- VS Code version requirement documentation (1.99+)
Changed
- Generalized software engineer agent (previously backend-specific)
- Standardized agent descriptions and enforced instructions usage
- Switched agents to use Claude Opus
2025-11-28
Added
- Figma MCP Server integration for UI verification
- Git-committer agent with automated commit message generation
2025-11-26
Added
tsh-prefix for all agent names for namespace consistency- Atlassian resource accessibility checks
2025-11-23
Added
- Detailed MCP tool usage guidelines for all agents (Context7, Playwright, Figma, Atlassian)
2025-11-21
Added
- Sequential Thinking MCP integration for complex problem-solving
- Data Engineer agent
2025-11-20
Added
- MCP server configurations (Playwright, Context7, Figma Dev Mode, Atlassian)
- UI/Figma verification agent and review workflow
- Frontend Software Engineer agent (initial base)
2025-11-19
Added
- MCP configuration for workspace and user-level setups
- LICENSE file and updated README
2025-11-14
Added
- Agent-based architecture with handoffs (Architect, Business Analyst, Software Engineer, Code Reviewer)
Changed
- Updated models to GPT-5.1 across prompts
- Specified Figma MCP usage in research workflow
2025-11-05
Changed
- Planning prompt now focuses on tasks only, excluding improvements
2025-11-03
Added
- New operational mode and additional tools
2025-10-31
Changed
- Narrowed Atlassian/Jira access scope
- Enhanced planning and research prompts with implementation analysis guidelines
2025-10-29
Added
- Plan prompt with task-specific implementation focus
2025-10-28
Added
- Initial project setup with EditorConfig, Prettier, Husky, and Copilot configurations
- Automated commit message generation prompt
- Security review configuration and documentation