PR Design Doc
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A skill your agent uses when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin.
Install 025 Quality Attribute Discovery
$ npx skills add jabrena/plinth --skill 025-quality-attribute-discovery -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install jabrena/plinth 025-quality-attribute-discovery --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/jabrena/plinth.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/025-quality-attribute-discovery .claude/skills/025-quality-attribute-discovery && 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 "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .claude/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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/jabrena/plinth/tree/main/skills/025-quality-attribute-discoveryType 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 jabrena/plinth --skill 025-quality-attribute-discovery -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install jabrena/plinth 025-quality-attribute-discovery --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jabrena/plinth.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/025-quality-attribute-discovery .agents/skills/025-quality-attribute-discovery && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .agents/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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 jabrena/plinth --skill 025-quality-attribute-discovery -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install jabrena/plinth 025-quality-attribute-discovery --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jabrena/plinth.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/025-quality-attribute-discovery .cursor/skills/025-quality-attribute-discovery && 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 "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .cursor/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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/jabrena/plinth.git --path skills/025-quality-attribute-discovery--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 jabrena/plinth --skill 025-quality-attribute-discovery -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install jabrena/plinth 025-quality-attribute-discovery --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jabrena/plinth.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/025-quality-attribute-discovery .gemini/skills/025-quality-attribute-discovery && 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 "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .gemini/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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 jabrena/plinth 025-quality-attribute-discoveryInstalls 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 jabrena/plinth --skill 025-quality-attribute-discovery -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/jabrena/plinth.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/025-quality-attribute-discovery .github/skills/025-quality-attribute-discovery && 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 "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .github/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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 jabrena/plinth --skill 025-quality-attribute-discovery -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install jabrena/plinth 025-quality-attribute-discovery --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/jabrena/plinth.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/025-quality-attribute-discovery .opencode/skills/025-quality-attribute-discovery && 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 "025-quality-attribute-discovery" agent skill from https://github.com/jabrena/plinth/tree/main/skills/025-quality-attribute-discovery into .opencode/skills/025-quality-attribute-discovery/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "025-quality-attribute-discovery", 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.
Facts
- Skill name
025-quality-attribute-discovery- GitHub stars
- 447
- Token cost
- ~945 tokens
- SKILL.md length
- 406 words
- Files
- 2 (incl. references)
- Skills in repo
- 124
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
A skill your agent uses when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin.
- An issues Quality Attribute Discovery point of view needs evaluation
- SKILL.md covers Constraints, When to use this skill, Workflow and Reference
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- A maintainer directly asks to discover and prioritize candidate quality attributes for a problem
What it does
025 Quality Attribute Discovery is an agent skill from jabrena/plinth. Use when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin. This should trigger when an issue's Quality Attribute Discovery point of view needs evaluation, or when a maintainer directly asks to discover and prioritize candidate quality attributes for a problem, before any ADR or design work starts. Part of Plinth Toolkit
Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/025-quality-attribute-discovery.md`).
It sits in Development, covering Architecture decision records. The repository describes itself as: Plinth is an AI-native engineering toolkit for modern Java enterprise SDLC, built around reusable Commands, Agents, Skills, and MCP Servers. The licence is Apache-2.0.
When your agent uses it
- An issues Quality Attribute Discovery point of view needs evaluation
- A maintainer directly asks to discover and prioritize candidate quality attributes for a problem
- Design work starts
Example prompts
- “/025-quality-attribute-discovery”
What it can do on your machine
Read from SKILL.md and the folder at commit dca88dc. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
025 Quality Attribute Discovery loads about 945 tokens when it runs, and up to ~2.7k if it reads all its reference files. Until then it costs about 114 tokens; SKILL.md has 406 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from jabrena/plinth at commit dca88dc, republished under its Apache-2.0 licence (© jabrena). 406 words, ~945 tokens.
Download SKILL.mdSave it as
.claude/skills/025-quality-attribute-discovery/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- 025-quality-attribute-discovery
- description
- Use when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin. This should trigger when an issue's Quality Attribute Discovery point of view needs evaluation, or when a maintainer directly asks to discover and prioritize candidate quality attributes for a problem, before any ADR or design work starts. Part of Plinth Toolkit
- license
- Apache-2.0
- metadata.author
- Juan Antonio Breña Moral
- metadata.version
- 0.19.0
Quality Attribute Discovery
Guide identification and prioritization of the quality attributes a future solution must satisfy, before architecture and design decisions begin. This is an interactive SKILL.
What is covered in this Skill?
- Identifying candidate quality attributes (for example performance, security, availability, maintainability, scalability, usability, observability) relevant to the problem
- Grounding each candidate in evidence from the problem frame, root causes, assumptions, and context map, not a generic checklist
- Prioritizing candidate quality attributes by stakeholder impact and risk
- Stopping at a prioritized discovery list rather than selecting or recording an architectural decision
- Explicitly not producing ADRs or an architecture direction itself
Constraints
Discover and prioritize candidate quality attributes as input to later architecture work; do not make or record the architecture decision here. When this technique is orchestrated by another workflow, the orchestrator owns clarifying-question sequencing; when applied standalone, ask directly.
- MUST read
references/025-quality-attribute-discovery.mdbefore applying Quality Attribute Discovery guidance - MUST ground each candidate quality attribute in evidence from the problem frame, root causes, assumptions, or context map
- MUST prioritize candidate quality attributes by stakeholder impact and risk, not list them unordered
- MUST stop at a prioritized discovery list without selecting or recording an architecture decision
- MUST NOT record an architectural decision, ADR, or design direction as part of this skill's output
- MUST NOT invent a quality attribute or priority when the available content is vague or ambiguous; flag the gap for a clarifying question instead
Show full SKILL.md (170 more words)Show less
When to use this skill
- Discover the quality attributes for this problem
- Identify non-functional requirements before design begins
- Prioritize candidate quality attributes for this issue
- Apply quality attribute discovery before architecture decisions
- Draft the Quality Attribute Discovery section of a Functional Specification
Workflow
- Read the Reference
Read references/025-quality-attribute-discovery.md, then review the problem frame, root-cause findings, assumptions, and context map for evidence of quality pressure.
- Identify Candidate Quality Attributes
Identify candidate quality attributes grounded in that evidence, avoiding a generic unfiltered checklist.
- Prioritize by Impact and Risk
Prioritize the candidate quality attributes by stakeholder impact and risk if unmet.
- Stop Before Architecture Decisions
Stop at the prioritized discovery list; do not select an architecture approach or record an ADR here.
- Report the Discovery List
Report the prioritized quality attributes, stating explicitly that the output stops at this discovery list and does not select or record an architecture decision; flag any item left open pending a clarifying answer.
Reference
For detailed guidance, examples, and constraints, see references/025-quality-attribute-discovery.md.
© jabrena, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/025-quality-attribute-discovery of jabrena/plinth.
- SKILL.md
- references/025-quality-attribute-discovery.md
Open the folder on GitHubat commit dca88dc
Compare with similar skills
025 Quality Attribute Discovery 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 |
|---|---|---|---|---|---|---|
| 025 Quality Attribute Discovery this skilljabrena/plinth | 447 | — | ~945 | Automated safety check: Pass | Apache-2.0 | |
| 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 |
Similar skills
Cto Advisor
Ibrahim-3d/orchestrator-supaconductor
Technical leadership guidance for engineering teams, architecture decisions, and technology strategy.
Architecture Decision
Donchitos/Claude-Code-Game-Studios
Create an ADR documenting a technical decision: context, alternatives considered, consequences.
Improve Codebase Architecture
ywwynm/EverythingDone
Find deepening opportunities in a codebase, informed by the domain language in CONTEXT.md and the decisions in docs/adr/.
Domain Modeling
brim-borium/spotify_sdk
Build and sharpen a project's domain model. An agent skill from brim-borium/spotify_sdk.
Design Doc Mermaid
SpillwaveSolutions/design-doc-mermaid
Create Mermaid diagrams (flowchart, sequence, class, ER, state, C4, architecture) from text or source code.
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Categories
Questions about 025 Quality Attribute Discovery
What does 025 Quality Attribute Discovery do?
A skill your agent uses when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin. 025 Quality Attribute Discovery is an agent skill from jabrena/plinth. Use when a problem under exploration needs its quality attributes (non-functional requirements) identified and prioritized before architecture and design begin.
When should I use 025 Quality Attribute Discovery?
025 Quality Attribute Discovery fits situations like: an issues Quality Attribute Discovery point of view needs evaluation; A maintainer directly asks to discover and prioritize candidate quality attributes for a problem; design work starts.
How do I install 025 Quality Attribute Discovery in Claude Code?
Run `npx skills add jabrena/plinth --skill 025-quality-attribute-discovery -a claude-code`. Or copy the skill folder (skills/025-quality-attribute-discovery in jabrena/plinth) into .claude/skills/025-quality-attribute-discovery in your project. Claude Code loads it when a task matches its description.
How do I install 025 Quality Attribute Discovery in Codex?
Run `npx skills add jabrena/plinth --skill 025-quality-attribute-discovery -a codex`. Or copy the skill folder (skills/025-quality-attribute-discovery in jabrena/plinth) into .agents/skills/025-quality-attribute-discovery in your project. Codex loads it when a task matches its description.
Can I use 025 Quality Attribute Discovery in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jabrena/plinth --skill 025-quality-attribute-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/025-quality-attribute-discovery, .gemini/skills/025-quality-attribute-discovery, .github/skills/025-quality-attribute-discovery and .opencode/skills/025-quality-attribute-discovery in your project.
What does 025 Quality Attribute Discovery need to run?
SKILL.md names no scripts, command-line tools or credentials: 025 Quality Attribute Discovery is instructions for the agent only.
Does 025 Quality Attribute Discovery access the network?
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.
Is 025 Quality Attribute Discovery safe to install?
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.
What licence does 025 Quality Attribute Discovery use?
025 Quality Attribute Discovery is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does 025 Quality Attribute Discovery use?
About 945 tokens (SKILL.md is roughly 3.8k 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 1.8k tokens, read only when the agent opens those files.
What are the alternatives to 025 Quality Attribute Discovery?
Skills that share tags, products or a category with 025 Quality Attribute Discovery: 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.
Who maintains 025 Quality Attribute Discovery?
jabrena (a GitHub user) maintains it in jabrena/plinth, which has 447 GitHub stars. The repository holds 124 skills in this directory. The repository was last updated on October 7, 2026.
Source: jabrena/plinth on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.