37,021 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Use when a Hermes Agent coding task is multi-step, risky, long-running, production-facing, security-sensitive, or likely to span multiple sessions. Enforces a spec-first loop, one-slice implementation, real verification evidence, adversarial diff review, context-budget discipline, and clean handoff before work is…
Maps a codebase using team-based deep analysis with priority-driven agent assignments. Use after initial project setup, when pending-analysis memories appear, or periodically to refresh the knowledge graph.
Visionary/strategy specialist. Rare — sits optionally above @discovery. Use only when the request is about product or company direction itself (not a scoped feature), uses explicit strategy vocabulary (vision, north star, 10x, why now, differentiation, positioning, game-changing, moonshot), or represents a genuine new…
Plan and design a detailed, phased technical implementation from a PRD. Creates actionable task lists with guardrails for resource efficiency, error handling, and type safety. Activate for: plan, design, technical planning, task breakdown.
Pre- and post-implementation validation with parallel subagents: /replan validates plans before execution, /recheck verifies implementations match the plan. On real code changes /recheck also runs a full /code-review high pass. Includes a per-run audit trail, lessons-learned feedback loop (interactive + autonomous)…
AI-first system architecture -- evaluate GenAI/Agentic AI solutions as the default lens, create ADRs with 3+ evaluated options, and technical specifications with diagrams -- NO CODE EXAMPLES.
Método CBRM de Dominicode: de un Issue a una PR verificada con contrato (spec), carril (harness) y veredicto (evidencia). Incluye el lifecycle SDD y el setup del harness.
★not rated 18
changed 16d agoA
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originalMIT
Turn AI software engineering into an auditable, on-disk state machine. A staged PDLC workflow (PRD, design, TDD, implement, review, ship, retro) enforces hard contracts — artifacts on disk, per-feature state machine, tests-before-code, objective checks from real command exit codes, single-shot auto-repair — so AI work.
★not rated 18
changed 15d agoA
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originalMIT
Brownfield onboarding — audits existing project artifacts for template format compliance (not just existence), classifies gaps by impact, and produces a numbered migration plan. Run this when joining an in-progress project or upgrading from an older template version. Distinct from $ai-game-studio:project-stage-detect…
Three civil-servant flows — draft a structured briefing note, synthesise stakeholder consultation responses, or set meeting-marathon chronometric thresholds for a sitting-day.
Use when designing, auditing, refactoring, or expanding complex repositories where the AI should first discover architecture from the codebase instead of being constrained by premature schemas, rigid YAML definitions, or hardcoded implementation assumptions.
Decision-lock workflow for complex features. Asks targeted domain-specific questions, locks scope, and writes a CONTEXT.md that downstream skills consume. Auto-invoked when a feature touches 3+ files across 2+ concerns, or manually via /discuss.
The five-skill discipline loop for long-running agent work: freeze a task's scope into a workorder, gate sensory output behind human review, log decisions so they survive a context reset, hand off state when work changes hands, and close out with evidence instead of claims.
★not rated 17 1mo agoA
tokens not measured
originalMIT
Turns a change idea into a stable spec.md and actionable plan.md under Docs/ /Specs/ /. Opens with a fixed prompt for goals/context, then conversationally resolves scope and naming; proceeds through workflow steps in order. Tone: concise, cheerful, inquisitive. Does not create the Specs folder, spec.md, or plan.md…
A skill that turns rough product ideas, research, interviews, or an existing PRD into a Markdown product requirements document. A PRD explains what to build, how it should be structured, and how to check that it works.
Refine an early idea or creative concept into a coherent, evidence-aware design and durable Markdown master spec/PRD. Use when the user wants to explore, challenge, clarify, or develop an idea before implementation, including related-work research, core-mechanism design, product design, maturity progression, or…
Structured development skills for any project. Provides brainstorming, planning, parallel agent development, browser testing, systematic debugging, and self-improvement workflows.
★not rated 17 4mo agoA
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GPL-3.0
Tactical AI-native SDLC layered on Claude Buddy — Cole Medin's R-PIV loop (Research, Plan, Implement, Validate) for brownfield projects, with epic/story/task decomposition in Jira & Confluence and GitHub as source control via MCP. A complement to buddy: reuses its Foundation, adds a checked-in AI layer (lean CLAUDE.md.
★not rated 17 2mo agoA
tokens not measured
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: