PR Design Doc
OpenHands/OpenHands
For a non-trivial pull request, write a self-contained HTML design doc under the temporary .pr/ directory and link a visibility-appropriate preview in the PR description, so maintainers grasp the…
Spawns the decision-scorer agent after architect proposes 2+ variants in an ADR.
$ npx skills add avelikiy/great_cto --skill decision-eval -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install avelikiy/great_cto decision-eval --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/avelikiy/great_cto.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/decision-eval .claude/skills/decision-eval && 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 "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .claude/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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/avelikiy/great_cto/tree/main/skills/decision-evalType 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 avelikiy/great_cto --skill decision-eval -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install avelikiy/great_cto decision-eval --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/decision-eval .agents/skills/decision-eval && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .agents/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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 avelikiy/great_cto --skill decision-eval -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install avelikiy/great_cto decision-eval --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/decision-eval .cursor/skills/decision-eval && 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 "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .cursor/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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/avelikiy/great_cto.git --path skills/decision-eval--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 avelikiy/great_cto --skill decision-eval -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install avelikiy/great_cto decision-eval --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/decision-eval .gemini/skills/decision-eval && 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 "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .gemini/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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 avelikiy/great_cto decision-evalInstalls 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 avelikiy/great_cto --skill decision-eval -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/decision-eval .github/skills/decision-eval && 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 "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .github/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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 avelikiy/great_cto --skill decision-eval -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install avelikiy/great_cto decision-eval --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/avelikiy/great_cto.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/decision-eval .opencode/skills/decision-eval && 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 "decision-eval" agent skill from https://github.com/avelikiy/great_cto/tree/main/skills/decision-eval into .opencode/skills/decision-eval/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "decision-eval", 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.
decision-evalSpawns the decision-scorer agent after architect proposes 2+ variants in an ADR.
Decision Eval is an agent skill from avelikiy/great_cto. Spawns the decision-scorer agent after architect proposes 2+ variants in an ADR. Produces a weighted scoring table and recommended choice saved to docs/decisions/.
Its SKILL.md is about 880 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Development, covering Architecture decision records. The repository describes itself as: You already have the agent. This is everything around it. greatcto runs Claude Code as a pipeline of 70 specialist agents — an independent model checks each stage before the next… The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 5d6e760. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadGlobBashAgentFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).
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.
Decision Eval loads about 884 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 256 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Glob, Bash, AgentAutomated 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 avelikiy/great_cto at commit 5d6e760, republished under its MIT licence (© avelikiy). 256 words, ~884 tokens.
.claude/skills/decision-eval/SKILL.md (or your agent's skills folder).Invoke after architect proposes 2+ variants, before creating gate:arch.
Invoke this skill when ALL of these are true:
docs/adr/ADR-*.md) or ARCH doc (docs/architecture/ARCH-*.md)
contains a section with 2 or more named alternatives (look for
## Alternatives Considered, ## Options, or bold-prefixed options like
**Option A:**)gate:archproject_size in PROJECT.md is NOT nanoSkip silently (do not even mention) if any condition fails.
Read the most recent ADR or ARCH doc to confirm 2+ variants exist, then spawn
the decision-scorer agent with the file path as context:
# Identify target document
TARGET=$(ls -t docs/adr/ADR-*.md 2>/dev/null | head -1)
[ -z "$TARGET" ] && TARGET=$(ls -t docs/architecture/ARCH-*.md 2>/dev/null | head -1)
# Confirm 2+ variants
VARIANT_COUNT=$(grep -cE "^\*\*[A-Za-z]|^### [A-Za-z]|^- \*\*[A-Za-z]" "$TARGET" 2>/dev/null || echo 0)If VARIANT_COUNT >= 2, dispatch the agent:
Agent: decision-scorer
Context: <TARGET file path>
Task: Score the architectural variants in <TARGET> against .great_cto/PROJECT.md criteria.
Save output to docs/decisions/.The decision-scorer agent saves results to:
docs/decisions/DECISION-<slug>-<YYYYMMDD>.mdAfter the agent completes, read the output file and surface the recommendation to the architect:
Decision scoring complete:
Recommended: <variant name> (<score>/5.00)
Runner-up: <variant name> (<score>/5.00)
Full report: docs/decisions/DECISION-<slug>-<YYYYMMDD>.md
Architect: review the scoring rationale before accepting or overriding the recommendation.Output nothing and proceed to the next step if:
project_size: nano in PROJECT.mdThis skill sits between Step 4 (Write ADR) and Step 5 (Create gate:arch) in
agents/architect.md. Architect invokes it by name:
Invoke skill: decision-evalAfter scoring completes, architect may:
## Scoring Override section before creating gate:arch© avelikiy, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/decision-eval of avelikiy/great_cto.
Open the folder on GitHubat commit 5d6e760
Decision Eval 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 |
|---|---|---|---|---|---|---|
| Decision Eval this skillavelikiy/great_cto | 103 | — | ~884 | Automated safety check: Notes | MIT | |
| PR Design DocOpenHands/OpenHands | 90k | — | ~2.4k | Automated safety check: Pass | MIT | |
| Cto AdvisorIbrahim-3d/orchestrator-supaconductor | 381 | 4 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Architecture DecisionDonchitos/Claude-Code-Game-Studios | 26k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Improve Codebase Architectureywwynm/EverythingDone | 144 | 15 repos | ~1.3k | Automated safety check: Pass | GPL-3.0 | |
| Domain Modelingbrim-borium/spotify_sdk | 166 | 5 repos | ~806 | Automated safety check: Pass | Apache-2.0 |
OpenHands/OpenHands
For a non-trivial pull request, write a self-contained HTML design doc under the temporary .pr/ directory and link a visibility-appropriate preview in the PR description, so maintainers grasp the…
Ibrahim-3d/orchestrator-supaconductor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.
Donchitos/Claude-Code-Game-Studios
Create an ADR documenting a technical decision: context, alternatives considered, consequences.
ywwynm/EverythingDone
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
brim-borium/spotify_sdk
Build and sharpen a project's domain model. An agent skill from brim-borium/spotify_sdk.
SpillwaveSolutions/design-doc-mermaid
Create Mermaid diagrams (flowchart, sequence, class, ER, state, C4, architecture) from text or source code.
avelikiy/great_cto
Analyzes a screenshot, website or Figma file and writes a `design.md` with its token system, component inventory and reconstruction notes, or an `element.md` for one element.
avelikiy/great_cto
Builds an Opportunity Solution Tree that links one measurable outcome to customer opportunities, candidate solutions and experiments.
avelikiy/great_cto
Rewrites a feature-list roadmap into outcome statements that name the customer segment, the result they get and the business impact, grouped into themes.
avelikiy/great_cto
Turns a leaked key, token or password into one tracked rotation task the moment it's spotted, instead of a reminder repeated every session.
avelikiy/great_cto
Runs a three-round self-challenge plus an arbiter over high-stakes findings, so false positives from reviews, audits and flaky-test verdicts do not become blockers.
avelikiy/great_cto
greatcto's own committed aesthetic — the instrument panel. An agent skill from avelikiy/great_cto.
Categories
Spawns the decision-scorer agent after architect proposes 2+ variants in an ADR. Decision Eval is an agent skill from avelikiy/great_cto. Spawns the decision-scorer agent after architect proposes 2+ variants in an ADR.
Decision Eval fits situations like: tasks that involve Architecture decision records.
Run `npx skills add avelikiy/great_cto --skill decision-eval -a claude-code`. Or copy the skill folder (skills/decision-eval in avelikiy/great_cto) into .claude/skills/decision-eval in your project. Claude Code loads it when a task matches its description.
Run `npx skills add avelikiy/great_cto --skill decision-eval -a codex`. Or copy the skill folder (skills/decision-eval in avelikiy/great_cto) into .agents/skills/decision-eval 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 avelikiy/great_cto --skill decision-eval -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/decision-eval, .gemini/skills/decision-eval, .github/skills/decision-eval and .opencode/skills/decision-eval in your project.
SKILL.md names no scripts, command-line tools or credentials: Decision Eval is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Bash, Agent.
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 notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Decision Eval is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 884 tokens (SKILL.md is roughly 3.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Decision Eval: PR Design Doc (OpenHands/OpenHands, 90k stars), Cto Advisor (Ibrahim-3d/orchestrator-supaconductor, 381 stars), Architecture Decision (Donchitos/Claude-Code-Game-Studios, 26k stars) and Improve Codebase Architecture (ywwynm/EverythingDone, 144 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
avelikiy (a GitHub user) maintains it in avelikiy/great_cto, which has 103 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on October 9, 2026.
Source: avelikiy/great_cto on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.