acarmonag
Community@acarmonag
Skills for spec-kit feature delivery, GitHub release coordination, vector memory retrieval, secure review, and modular typed architecture.
Agent Skills by acarmonag
Showing 40 vetted skills indexed across 2 GitHub repositories.
speckit-checklist
Generate requirements-quality checklists for spec-kit feature specifications.
speckit-constitution
Creates or updates the project constitution in a Spec Kit repository.
speckit-implement
Executes implementation plans by processing tasks defined in tasks.md.
speckit-converge
Assess codebase against spec, plan, and tasks, then append remaining work to tasks.md.
speckit-taskstoissues
Convert spec-kit tasks into dependency-ordered GitHub issues with deduplication.
speckit-clarify
Identifies underspecified areas in feature specs and records targeted clarification answers into the spec file.
speckit-plan
Generates implementation plans and design artifacts from feature specifications using the spec-kit workflow.
speckit-analyze
Analyze spec.md, plan.md, and tasks.md for cross-artifact consistency and coverage gaps.
speckit-specify
Generate a validated feature specification from a natural language feature description.
speckit-tasks
Generates a dependency-ordered tasks.md checklist from spec-kit design artifacts.
V3 MCP Optimization
Optimize Model Context Protocol server performance with connection pooling and O(1) tool registry lookups.
stream-chain
Execute sequential multi-agent workflows by chaining prompt outputs as context.
sparc-methodology
Orchestrate multi-agent software development across specification, architecture, and implementation phases.
Hooks Automation
Coordinate agent workflows with MCP-integrated hooks for validation and session persistence.
V3 CLI Modernization
Modernize CLI architectures with modular registries, interactive prompts, and workflow orchestration.
github-workflow-automation
Generate and optimize GitHub Actions workflows with multi-agent swarm coordination.
Verification & Quality Assurance
Automate code security validation and reliability scoring for software projects.
V3 Deep Integration
Refactor parallel agentic implementations into a unified agentic-flow@alpha extension.
Skill Builder
Generate standardized directory structures and YAML frontmatter for Claude Code Skills.
V3 Core Implementation
Implements TypeScript modules using Domain-Driven Design and clean architecture patterns.
ReasoningBank with AgentDB
Track agent trajectories and distill memory patterns using a vector database.
ReasoningBank Intelligence
Record experiences and recognize patterns to optimize agent decision-making strategies.
V3 Security Overhaul
Remediate critical CVEs and implement secure-by-default patterns in claude-flow v3.
swarm-advanced
Orchestrate distributed multi-agent swarms for research, development, and testing workflows.
Frequently Asked Questions About acarmonag
FAQPage SchemaWhat tasks can acarmonag skills handle?▼
They cover spec-kit feature specification, clarification, planning, task generation, convergence checks, GitHub issue conversion, release management, code review, project-board sync, vector search, memory patterns, performance validation, and secure-by-default remediation.
Who should use acarmonag skills?▼
Software leads, platform engineers, release managers, and reviewers benefit most. The registry fits teams running spec-kit repositories, GitHub-centric delivery, semantic retrieval, persistent memory, and structured review across one or many repositories.
How do I run acarmonag spec-kit skills?▼
Open a repository that already has the spec-kit .specify directory, invoke the needed slash-style skill such as specify, plan, tasks, analyze, or implement, then provide the requested feature text, focus area, or filter.
Are acarmonag skills open source or paid?▼
The provided manifest does not state a license, price, or usage fee. Treat licensing as unspecified until the repository terms are inspected; several entries cite github-spec-kit templates as their source.
What prerequisites do acarmonag skills require?▼
Spec-kit entries require a .specify project structure. GitHub entries need repository, issue, pull-request, board, or release access. Retrieval and memory entries expect a vector database with HNSW indexing, hybrid search, caching, or QUIC synchronization.