This skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use"…
$ npx skills add team-attention/hoyeon --skill tech-decision -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install team-attention/hoyeon tech-decision --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/tech-decision .claude/skills/tech-decision && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .claude/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/team-attention/hoyeon/tree/main/skills/tech-decisionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add team-attention/hoyeon --skill tech-decision -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install team-attention/hoyeon tech-decision --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/tech-decision .agents/skills/tech-decision && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .agents/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add team-attention/hoyeon --skill tech-decision -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install team-attention/hoyeon tech-decision --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/tech-decision .cursor/skills/tech-decision && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .cursor/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/team-attention/hoyeon.git --path skills/tech-decision--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add team-attention/hoyeon --skill tech-decision -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install team-attention/hoyeon tech-decision --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/tech-decision .gemini/skills/tech-decision && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .gemini/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install team-attention/hoyeon tech-decisionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add team-attention/hoyeon --skill tech-decision -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/tech-decision .github/skills/tech-decision && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .github/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add team-attention/hoyeon --skill tech-decision -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install team-attention/hoyeon tech-decision --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/team-attention/hoyeon.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/tech-decision .opencode/skills/tech-decision && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tech-decision" agent skill from https://github.com/team-attention/hoyeon/tree/main/skills/tech-decision into .opencode/skills/tech-decision/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tech-decision", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
tech-decisionThis skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use"…
Tech Decision is an agent skill from team-attention/hoyeon. This skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use", "tradeoffs", "tech selection", "implementation approach", or needs deep analysis for technical decisions. Provides systematic multi-source research and synthesized recommendations.
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/evaluation-criteria.md` and `references/report-template.md`).
It sits in Backend & APIs, covering Deep research. The repository describes itself as: Requirements-first Harness — derive, verify, execute. The licence is MIT.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 7cff032. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Tech Decision loads about 1.4k tokens when it runs, and up to ~3.8k if it reads all its reference files. Until then it costs about 95 tokens; SKILL.md has 283 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from team-attention/hoyeon at commit 7cff032, republished under its MIT licence (© team-attention). 283 words, ~1,383 tokens.
.claude/skills/tech-decision/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.Skill for systematically analyzing technical decisions and deriving comprehensive conclusions.
Conclusion First: All reports present conclusion first, then provide evidence.
Clarify decision topic and context:
references/evaluation-criteria.md for detailed criteriaGather information from multiple sources simultaneously. Must run in parallel:
┌─────────────────────────────────────────────────────────────┐
│ Run simultaneously (parallel with Task tool) │
├─────────────────────────────────────────────────────────────┤
│ 1. codebase-explorer agent │
│ → Analyze existing codebase, identify patterns/constraints│
│ │
│ 2. docs-researcher agent │
│ → Research official docs, guides, best practices │
│ │
│ 3. Skill: dev-scan │
│ → Gather community opinions (Reddit, HN, Dev.to, etc.) │
│ │
│ 4. Skill: agent-council │
│ → Gather various AI expert perspectives │
│ │
│ 5. [Optional] Context7 MCP │
│ → Query latest docs per library │
└─────────────────────────────────────────────────────────────┘Run tradeoff-analyzer agent with gathered information:
Generate conclusion-first comprehensive report with decision-synthesizer agent (detailed template: references/report-template.md):
# Technical Decision Report: [Topic]
## Conclusion (Executive Summary)
**Recommendation: [Option X]**
[1-2 sentence key reason]
## Evaluation Criteria and Weights
| Criteria | Weight | Description |
|------|--------|------|
| Performance | 30% | ... |
| Learning Curve | 20% | ... |
## Option Analysis
### Option A: [Name]
**Pros:**
- [Pro 1] (Source: official docs)
- [Pro 2] (Source: Reddit r/webdev)
**Cons:**
- [Con 1] (Source: HN discussion)
**Good fit for:** [Scenario]
## Comprehensive Comparison
| Criteria | Option A | Option B | Option C |
|------|----------|----------|----------|
| Performance | ⭐⭐⭐ | ⭐⭐ | ⭐⭐⭐⭐ |
| **Total** | **X pts** | **Y pts** | **Z pts** |
## Recommendation Rationale
1. [Key reason 1 with source]
2. [Key reason 2 with source]
## Risks and Considerations
- [Consideration 1]
- [Consideration 2]| Agent | Role |
|---|---|
codebase-explorer | Analyze existing codebase, identify patterns/constraints |
docs-researcher | Research official docs, guides, best practices |
tradeoff-analyzer | Organize pros/cons, comparative analysis |
decision-synthesizer | Generate conclusion-first final report |
| Skill | Purpose | How to Call |
|---|---|---|
dev-scan | Community opinions from Reddit, HN, Dev.to | Skill: dev-scan |
agent-council | Gather various AI expert perspectives | Skill: agent-council |
User: "React vs Vue which is better?"
Execute:
1. Task docs-researcher + Task codebase-explorer (parallel)
2. Skill: dev-scan
3. Task tradeoff-analyzer
4. Task decision-synthesizerUser: "Thinking about which state management library to use"
Execute:
1. Task codebase-explorer (analyze current state)
2. Parallel:
- Task docs-researcher (Redux, Zustand, Jotai, Recoil, etc.)
- Skill: dev-scan
- Skill: agent-council
3. Task tradeoff-analyzer
4. Task decision-synthesizer© team-attention, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 2 other files (references) in skills/tech-decision of team-attention/hoyeon.
Open the folder on GitHubat commit 7cff032
Tech Decision next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tech Decision this skillteam-attention/hoyeon | 173 | — | ~1.4k | Automated safety check: Pass | MIT | |
| Tech Decisionteam-attention/plugins-for-claude-natives | 827 | 2 repos | ~1.2k | Automated safety check: Pass | MIT | |
| Customs Trade Law Onur Kafkaslawve-ai/awesome-legal-skills | 842 | — | ~4.1k | Automated safety check: Pass | AGPL-3.0 | |
| Claude To MedrixflowCitrus-bit/Anaxa | 120 | — | ~1.7k | Automated safety check: Pass | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Deep Research MCP Guidepminervini/deep-research-mcp | 113 | — | ~5.8k | Automated safety check: Pass | MIT |
team-attention/plugins-for-claude-natives
This skill should be used when the user asks to "기술 의사결정", "뭐 쓸지 고민", "A vs B", "비교 분석", "라이브러리 선택", "아키텍처 결정", "어떤 걸 써야 할지", "트레이드오프", "기술 선택", "구현 방식 고민", or needs deep analysis for technical…
lawve-ai/awesome-legal-skills
U.S. An agent skill from lawve-ai/awesome-legal-skills.
Citrus-bit/Anaxa
Interact with MedrixFlow AI agent platform via its HTTP API.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
pminervini/deep-research-mcp
Explains how to run, integrate and debug the deep-research-mcp project through its CLI, Python API or MCP server, with OpenAI, Gemini and DR-Tulu backends.
affaan-m/ECC
Searches the web, code, companies and people through the Exa MCP server, with notes on setup, the web_search_exa tool and treating results as untrusted data.
team-attention/hoyeon
This skill should be used when the user asks to "analyze session", "evaluate skill execution", "check session logs", provides a session ID with a skill path, or wants to verify that a skill executed…
team-attention/hoyeon
Recon-first browser automation. An agent skill from team-attention/hoyeon.
team-attention/hoyeon
This skill should be used when the user wants to verify their changes before pushing, or update the project's rule checklists.
team-attention/hoyeon
This skill should be used when the user says "/compound", "compound this", "document learnings", "save what we learned", or after completing a PR.
team-attention/hoyeon
Systematically QA test any application — web apps, native macOS apps, Electron apps, CLI tools, interactive REPLs, or anything on screen.
team-attention/hoyeon
Analyze an open-source project from What/Why perspective (not how-it's-implemented).
Categories
This skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use"…. Tech Decision is an agent skill from team-attention/hoyeon. This skill should be used when the user asks about "technical decision", "what to use", "A vs B", "comparison analysis", "library selection", "architecture decision", "which one to use", "tradeoffs", "tech selection", "implementation approach", or needs deep analysis for technical decisions.
Tech Decision fits situations like: asks about technical decision; comparison analysis; library selection; architecture decision.
Run `npx skills add team-attention/hoyeon --skill tech-decision -a claude-code`. Or copy the skill folder (skills/tech-decision in team-attention/hoyeon) into .claude/skills/tech-decision in your project. Claude Code loads it when a task matches its description.
Run `npx skills add team-attention/hoyeon --skill tech-decision -a codex`. Or copy the skill folder (skills/tech-decision in team-attention/hoyeon) into .agents/skills/tech-decision in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add team-attention/hoyeon --skill tech-decision -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tech-decision, .gemini/skills/tech-decision, .github/skills/tech-decision and .opencode/skills/tech-decision in your project.
SKILL.md names no scripts, command-line tools or credentials: Tech Decision is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Tech Decision is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Tech Decision: Tech Decision (team-attention/plugins-for-claude-natives, 827 stars), Customs Trade Law Onur Kafkas (lawve-ai/awesome-legal-skills, 842 stars), Claude To Medrixflow (Citrus-bit/Anaxa, 120 stars) and GitHub Deep Research (bytedance/deer-flow, 84k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
team-attention (a GitHub organization) maintains it in team-attention/hoyeon, which has 173 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on May 21, 2026.
Source: team-attention/hoyeon on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.
