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Claude Skills by theagenticguy

github.com/theagenticguy
12 skillsA× 120 installs0 views
ErpavalA

Workflow for autonomous software development with the Kiro CLI (open Agent Skills standard). Classifiers route scope, complexity, directory state, and spec readiness before committing to Explore / Research / Plan / Act / Validate, then close the loop with a Compound step that persists lessons to `.erpaval/solutions/` for future sessions. Optional HMW reframing and EARS specification add structured rigor — the orchestrator agent judges when to run them. Each Act subagent edits its own Markdown...

ai-agentspythongo
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Product Design SharedA

Shared canonical references for product-design frameworks — Pyramid Principle, Working Backwards, Double Diamond, research design, methodology selection. Consumed by `product-discovery`, `product-strategy`, `working-backwards`, and `customer-research` via `${ERPAVAL_HOME}/skills/product-design-shared/references/`. Do NOT invoke this skill directly — it has no orchestrator and no assets. Load the upstream skill that owns your task (`product-discovery` for PRD / HMW / EARS, `product-strategy` f...

research
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Product DiscoveryA

File-first orchestrator for product discovery and spec frameworks. Frames the problem with a Discovery Lead, Product Analyst, or System Architect role. Spawns parallel framework agents (Double Diamond, How Might We, Jobs to Be Done, user stories with INVEST, EARS for AI-coder specs, Gherkin), synthesizes into a PRD or discovery memo, and runs a critic pass. Absorbs prd-drafter (idea to PRD via three parallel research roles) and design-thinking (problem framing, scoped research, brainstorm). S...

ai-agentsgoapi
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18
Agent Ux PatternsA

Agent UX patterns and human-in-the-loop design: Twilio A2H protocol, Levels of Autonomy (L0-L5), inbox pattern, progressive trust, decision journal, gate reviews, autonomous work reports. Six-phase methodology from vague pain point to concrete data model via landscape research and multi-direction brainstorming. Use when the user asks to design agent UX, pick an autonomy level, build a human-in-the-loop flow, structure an agent inbox, design approval gates, or mentions A2H, autonomy level, pro...

designrustgo
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18
Customer ResearchA

Customer research and problem framing using the research-design discipline: hypothesis, null hypothesis, MECE questions, methods, findings. Produces Pyramid-base-shaped output ready for downstream composition into PR/FAQs, long-form narratives, or PRDs. Use when the user asks to design user research, run customer interviews, synthesize research findings, frame a problem statement, build a customer journey map, plan a VoC study, or mentions pain-point analysis, research plan, hypothesis testin...

researchgotesting
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Meta Prompt OptimizerA

Audit and rewrite prompts against Claude Opus 4.7 instruction-following best practices. Produces a scored audit plus a rewritten prompt. Use when the user asks to audit, review, critique, rewrite, improve, optimize, tighten, score, fix, migrate, or draft a prompt — including system prompts, CLAUDE.md files, Claude Code agent definitions, slash commands, SKILL.md files, Jinja2 prompt templates, or tool/parameter descriptions in Pydantic v2 or Zod schemas. Trigger on phrases like "is this promp...

ai-agentsgobash
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18
Product StrategyA

File-first orchestrator for business and product strategy frameworks. Frames the challenge with a CPO / CSO / VP Design role, spawns parallel framework agents (Rumelt kernel + Crux, Wardley Maps, Minto Pyramid as thinking structure, Working Backwards PR-FAQ as discovery artifact), synthesizes outputs into one strategy memo, runs a critic pass. Ships per-framework references, leadership role prompts, templates for strategy memos, PR-FAQs, Wardley maps, Minto arguments. Use when the user asks t...

businessgo
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18
ResearchA

Multi-agent research skill. Decomposes a question into 2–4 parallel Opus 4.7 research agents that write findings to per-agent Markdown files in real time, then runs a synthesis agent to merge by theme. Use when the user wants to research a topic, investigate something, find comparisons, compare options, learn about a technology, do a literature review, or understand a domain.

research
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18
Tech Stack BuilderA

Opinionated tech stack recommendations and settled library references. Two modes: (1) `/build-stack` runs parallel researcher agents to compare candidates and emit a stack report + ADRs for greenfield projects; (2) direct reference routing for coding with settled defaults. Use when the user asks to recommend a stack, choose between frameworks, compare open-source tools, scaffold a project with quality gates, set up a security pipeline, or asks how to wire TanStack Router/Query/Table/Form, Mot...

developmenttypescriptpython
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UltraplanA

Generator-critic planning. Launches 3 parallel Opus 4.7 explorers with distinct divergence vectors (architectural, speed-first, simple-first), each producing an independent plan, then runs a critic synthesis that composes the best elements into a single plan with per-decision attribution. Defeats single-agent anchoring. Use when the user asks to plan a non-trivial task, design an approach, compare implementation strategies, or wants multiple angles on a problem before coding.

ai-agentsshell
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Working BackwardsA

Working Backwards 5-stage customer-first product discovery. Orchestrates Listen, Define, Invent, Refine, Test & Iterate to produce a 5CQ, PR/FAQ, or Dear Customer Letter. Use when the user asks to work backwards, write a PR/FAQ, draft 5 customer questions, do customer-first product definition, or mentions Working Backwards, press release FAQ, 5CQ, MLP, or customer obsession. Do NOT use for strategy kernel, Rumelt diagnosis, or Wardley mapping — use product-strategy. Do NOT use for PRD draftin...

ai-agentsgobackend
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18
Workbench BuilderA

Builds disposable localhost workbenches — Flask + raw sqlite3 + htmx + Server-Sent Events apps — that give an agentic coding/eval/PR/data session a live UI with no build step, npm install, or deploy. The signature move is a two-way human↔agent loop over one SQLite file: the human acts in the browser (htmx POST → SQLite → fragment + SSE invalidation), the agent acts from the terminal (httpx → SQLite → SSE), both seeing the same state update live with no reload. Ships recipes for eval viewers, ...

ai-agentsrustgo
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