Code Design Rationale Investigator
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification.
$ npx skills add borghei/Claude-Skills --skill capa-officer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install borghei/Claude-Skills capa-officer --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/borghei/Claude-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ra-qm-team/capa-officer .claude/skills/capa-officer && 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 "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .claude/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officerType 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 borghei/Claude-Skills --skill capa-officer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install borghei/Claude-Skills capa-officer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ra-qm-team/capa-officer .agents/skills/capa-officer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .agents/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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 borghei/Claude-Skills --skill capa-officer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install borghei/Claude-Skills capa-officer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ra-qm-team/capa-officer .cursor/skills/capa-officer && 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 "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .cursor/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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/borghei/Claude-Skills.git --path ra-qm-team/capa-officer--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 borghei/Claude-Skills --skill capa-officer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install borghei/Claude-Skills capa-officer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ra-qm-team/capa-officer .gemini/skills/capa-officer && 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 "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .gemini/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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 borghei/Claude-Skills capa-officerInstalls 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 borghei/Claude-Skills --skill capa-officer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ra-qm-team/capa-officer .github/skills/capa-officer && 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 "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .github/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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 borghei/Claude-Skills --skill capa-officer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install borghei/Claude-Skills capa-officer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/borghei/Claude-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ra-qm-team/capa-officer .opencode/skills/capa-officer && 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 "capa-officer" agent skill from https://github.com/borghei/Claude-Skills/tree/main/ra-qm-team/capa-officer into .opencode/skills/capa-officer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "capa-officer", 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.
capa-officerCAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification.
Capa Officer is an agent skill from borghei/Claude-Skills. CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification. Use for CAPA investigations, 5-Why and fishbone analysis, and corrective action tracking.
Its SKILL.md is about 5.5k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/effectiveness-verification-guide.md`, `references/rca-methodologies.md` and `scripts/capa_tracker.py`).
It sits in Development, covering Root cause analysis. The repository describes itself as: 385 AI skills, 77 expert agents, and 900 stdlib Python tools for every team: engineering, PM, marketing, C-level, compliance, business ops, research, and a LinkedIn toolkit… The licence is MIT.
8 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 4a698e8. 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.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom 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.
Capa Officer loads about 5.5k tokens when it runs, and up to ~13k if it reads all its reference files. Until then it costs about 60 tokens; SKILL.md has 1,977 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); the scripts in this folder are not scanned.
The full file from borghei/Claude-Skills at commit 4a698e8, republished under its MIT licence (© borghei). 1,977 words, ~5,512 tokens.
.claude/skills/capa-officer/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Corrective and Preventive Action (CAPA) management within Quality Management Systems, focusing on systematic root cause analysis, action implementation, and effectiveness verification.
Before starting a CAPA investigation, confirm these inputs. If any is unknown or vague, ASK — do not assume:
Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the CAPA record.
Conduct systematic CAPA investigation from initiation through closure:
| Trigger Type | CAPA Required | Criteria |
|---|---|---|
| Customer complaint (safety) | Yes | Any complaint involving patient/user safety |
| Customer complaint (quality) | Evaluate | Based on severity and frequency |
| Internal audit finding (Major) | Yes | Systematic failure or absence of element |
| Internal audit finding (Minor) | Recommended | Isolated lapse or partial implementation |
| Nonconformance (recurring) | Yes | Same NC type occurring 3+ times |
| Nonconformance (isolated) | Evaluate | Based on severity and risk |
| External audit finding | Yes | All Major and Minor findings |
| Trend analysis | Evaluate | Based on trend significance |
| CAPA Severity | Required Team Members |
|---|---|
| Critical | CAPA Officer, Process Owner, QA Manager, Subject Matter Expert, Management Rep |
| Major | CAPA Officer, Process Owner, Subject Matter Expert |
| Minor | CAPA Officer, Process Owner |
Select and apply appropriate RCA methodology based on problem characteristics.
Is the issue safety-critical or involves system reliability?
├── Yes → Use FAULT TREE ANALYSIS
└── No → Is human error the suspected primary cause?
├── Yes → Use HUMAN FACTORS ANALYSIS
└── No → How many potential contributing factors?
├── 1-2 factors (linear causation) → Use 5 WHY ANALYSIS
├── 3-6 factors (complex, systemic) → Use FISHBONE DIAGRAM
└── Unknown/proactive assessment → Use FMEAUse when: Single-cause issues with linear causation, process deviations with clear failure point.
Template:
PROBLEM: [Clear, specific statement]
WHY 1: Why did [problem] occur?
BECAUSE: [First-level cause]
EVIDENCE: [Supporting data]
WHY 2: Why did [first-level cause] occur?
BECAUSE: [Second-level cause]
EVIDENCE: [Supporting data]
WHY 3: Why did [second-level cause] occur?
BECAUSE: [Third-level cause]
EVIDENCE: [Supporting data]
WHY 4: Why did [third-level cause] occur?
BECAUSE: [Fourth-level cause]
EVIDENCE: [Supporting data]
WHY 5: Why did [fourth-level cause] occur?
BECAUSE: [Root cause]
EVIDENCE: [Supporting data]Example - Calibration Overdue:
PROBLEM: pH meter (EQ-042) found 2 months overdue for calibration
WHY 1: Why was calibration overdue?
BECAUSE: Equipment was not on calibration schedule
EVIDENCE: Calibration schedule reviewed, EQ-042 not listed
WHY 2: Why was it not on the schedule?
BECAUSE: Schedule not updated when equipment was purchased
EVIDENCE: Purchase date 2023-06-15, schedule dated 2023-01-01
WHY 3: Why was the schedule not updated?
BECAUSE: No process requires schedule update at equipment purchase
EVIDENCE: SOP-EQ-001 reviewed, no such requirement
WHY 4: Why is there no such requirement?
BECAUSE: Procedure written before equipment tracking was centralized
EVIDENCE: SOP last revised 2019, equipment system implemented 2021
WHY 5: Why has procedure not been updated?
BECAUSE: Periodic review did not assess compatibility with new systems
EVIDENCE: No review against new equipment system documented
ROOT CAUSE: Procedure review process does not assess compatibility
with organizational systems implemented after original procedure creation.| Category | Focus Areas | Typical Causes |
|---|---|---|
| Man (People) | Training, competency, workload | Skill gaps, fatigue, communication |
| Machine (Equipment) | Calibration, maintenance, age | Wear, malfunction, inadequate capacity |
| Method (Process) | Procedures, work instructions | Unclear steps, missing controls |
| Material | Specifications, suppliers, storage | Out-of-spec, degradation, contamination |
| Measurement | Calibration, methods, interpretation | Instrument error, wrong method |
| Mother Nature | Temperature, humidity, cleanliness | Environmental excursions |
See references/rca-methodologies.md for complete method details and templates.
Before proceeding to action planning, validate root cause:
Develop effective actions addressing identified root causes:
| Type | Purpose | Timeline | Example |
|---|---|---|---|
| Containment | Stop immediate impact | 24-72 hours | Quarantine affected product |
| Correction | Fix the specific occurrence | 1-2 weeks | Rework or replace affected items |
| Corrective | Eliminate root cause | 30-90 days | Revise procedure, add controls |
| Preventive | Prevent in other areas | 60-120 days | Extend solution to similar processes |
ACTION PLAN TEMPLATE
CAPA Number: [CAPA-XXXX]
Root Cause: [Identified root cause]
ACTION 1: [Specific action description]
- Type: [ ] Containment [ ] Correction [ ] Corrective [ ] Preventive
- Responsible: [Name, Title]
- Due Date: [YYYY-MM-DD]
- Resources: [Required resources]
- Success Criteria: [Measurable outcome]
- Verification Method: [How success will be verified]
ACTION 2: [Specific action description]
...
IMPLEMENTATION TIMELINE:
Week 1: [Milestone]
Week 2: [Milestone]
Week 4: [Milestone]
Week 8: [Milestone]
APPROVAL:
CAPA Owner: _____________ Date: _______
Process Owner: _____________ Date: _______
QA Manager: _____________ Date: _______| Indicator | Target | Red Flag |
|---|---|---|
| Action scope | Addresses root cause completely | Treats only symptoms |
| Specificity | Measurable deliverables | Vague commitments |
| Timeline | Aggressive but achievable | No due dates or unrealistic |
| Resources | Identified and allocated | Not specified |
| Sustainability | Permanent solution | Temporary fix |
Verify corrective actions achieved intended results:
| CAPA Severity | Wait Period | Verification Window |
|---|---|---|
| Critical | 30 days | 30-90 days post-implementation |
| Major | 60 days | 60-180 days post-implementation |
| Minor | 90 days | 90-365 days post-implementation |
| Method | Use When | Evidence Required |
|---|---|---|
| Data trend analysis | Quantifiable issues | Pre/post comparison, trend charts |
| Process audit | Procedure compliance issues | Audit checklist, interview notes |
| Record review | Documentation issues | Sample records, compliance rate |
| Testing/inspection | Product quality issues | Test results, pass/fail data |
| Interview/observation | Training issues | Interview notes, observation records |
Did recurrence occur during verification period?
├── Yes → CAPA INEFFECTIVE (re-investigate root cause)
└── No → Were all effectiveness criteria met?
├── Yes → CAPA EFFECTIVE (proceed to closure)
└── No → Extent of gap?
├── Minor gap → Extend verification or accept with justification
└── Significant gap → CAPA INEFFECTIVE (revise actions)See references/effectiveness-verification-guide.md for detailed procedures.
Monitor CAPA program performance through key indicators.
| Metric | Target | Calculation |
|---|---|---|
| CAPA cycle time | <60 days average | (Close Date - Open Date) / Number of CAPAs |
| Overdue rate | <10% | Overdue CAPAs / Total Open CAPAs |
| First-time effectiveness | >90% | Effective on first verification / Total verified |
| Recurrence rate | <5% | Recurred issues / Total closed CAPAs |
| Investigation quality | 100% root cause validated | Root causes validated / Total CAPAs |
| Age Bucket | Status | Action Required |
|---|---|---|
| 0-30 days | On track | Monitor progress |
| 31-60 days | Monitor | Review for delays |
| 61-90 days | Warning | Escalate to management |
| >90 days | Critical | Management intervention required |
Monthly CAPA status report includes:
references/rca-methodologies.md contains:
references/effectiveness-verification-guide.md contains:
# Generate CAPA status report
python scripts/capa_tracker.py --capas capas.json
# Interactive mode for manual entry
python scripts/capa_tracker.py --interactive
# JSON output for integration
python scripts/capa_tracker.py --capas capas.json --output json
# Generate sample data file
python scripts/capa_tracker.py --sample > sample_capas.jsonCalculates and reports:
{
"capas": [
{
"capa_number": "CAPA-2024-001",
"title": "Calibration overdue for pH meter",
"description": "pH meter EQ-042 found 2 months overdue",
"source": "AUDIT",
"severity": "MAJOR",
"status": "VERIFICATION",
"open_date": "2024-06-15",
"target_date": "2024-08-15",
"owner": "J. Smith",
"root_cause": "Procedure review gap",
"corrective_action": "Updated SOP-EQ-001"
}
]
}| Sub-clause | Requirement | Key Activities |
|---|---|---|
| 8.5.2 Corrective Action | Eliminate cause of nonconformity | NC review, cause determination, action evaluation, implementation, effectiveness review |
| 8.5.3 Preventive Action | Eliminate potential nonconformity | Trend analysis, cause determination, action evaluation, implementation, effectiveness review |
Required CAPA elements:
| Observation | Root Cause Pattern |
|---|---|
| CAPA not initiated for recurring issue | Trend analysis not performed |
| Root cause analysis superficial | Inadequate investigation training |
| Effectiveness not verified | No verification procedure |
| Actions do not address root cause | Symptom treatment vs. cause elimination |
| Problem | Possible Cause | Resolution |
|---|---|---|
| Root cause analysis yields only symptoms | Investigation stopped too early or used wrong RCA method | Apply the RCA Method Selection Decision Tree; ensure at least 5 levels of "why" with evidence at each level |
| CAPA effectiveness verification fails repeatedly | Corrective action addresses symptoms, not true root cause | Re-open investigation, consider hybrid RCA approach (e.g., Fishbone + 5-Why), involve additional subject matter experts |
| CAPA cycle times consistently exceed 60-day target | Insufficient resources allocated or unclear ownership | Escalate during management review; assign dedicated CAPA coordinator; break complex CAPAs into phased actions |
| Overdue CAPA rate exceeds 10% | Lack of automated tracking or reminder system | Implement automated alerts via QMS software; run python scripts/capa_tracker.py --capas capas.json weekly to identify aging items |
| Auditors cite "superficial root cause analysis" | Inadequate training on RCA methodologies | Conduct RCA methodology training for investigation teams; use templates from references/rca-methodologies.md; require evidence at each analysis step |
| Recurring issues despite closed CAPAs | Preventive actions not extended to similar processes | During action planning, explicitly assess all analogous processes; add preventive actions targeting systemic causes, not just the specific instance |
| Stakeholders disagree on CAPA severity classification | No standardized severity criteria applied | Use the CAPA Necessity Determination table and Severity definitions consistently; document classification rationale with objective evidence |
capa_tracker.py metricsIn Scope:
Out of Scope:
fda-consultant-specialist or mdr-745-specialist for submission-related CAPAs)quality-manager-qms-iso13485 for supplier qualification)Important Notes:
capa_tracker.py tool works with JSON input and does not connect to live QMS databases; export data from your eQMS for analysis| Skill | Integration | When to Use |
|---|---|---|
quality-manager-qms-iso13485 | CAPA findings feed into QMS process improvements and supplier corrective actions | When root cause involves QMS process gaps or supplier nonconformances |
qms-audit-expert | Audit findings are a primary CAPA source; CAPA closure evidence supports audit follow-up | When CAPAs originate from internal or external audit findings |
risk-management-specialist | CAPA outcomes update risk assessments; FMEA results may trigger preventive CAPAs | When root cause analysis reveals previously unassessed risks |
fda-consultant-specialist | FDA 483 observations and warning letters require formal CAPA responses | When CAPA originates from FDA inspection findings |
mdr-745-specialist | EU MDR vigilance reports and FSCA may trigger CAPAs; CAPA data feeds PMS/PSUR | When post-market surveillance identifies safety or performance issues |
quality-documentation-manager | Document control updates resulting from CAPA actions; 21 CFR Part 11 compliance for electronic CAPA records | When corrective actions require SOP revisions or new document creation |
Tracks CAPA status, calculates metrics, identifies overdue items, and generates management review reports.
| Flag | Required | Description |
|---|---|---|
--capas <file> | Yes (unless --interactive or --sample) | Path to JSON file containing CAPA records |
--interactive | No | Launch interactive mode for manual CAPA entry |
--output <format> | No | Output format: json for machine-readable, default is human-readable text |
--sample | No | Generate a sample CAPA JSON file to stdout for use as a template |
Calculated Metrics:
Example:
# Generate sample data, then analyze
python scripts/capa_tracker.py --sample > sample_capas.json
python scripts/capa_tracker.py --capas sample_capas.json
python scripts/capa_tracker.py --capas sample_capas.json --output json© borghei, 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 3 other files (scripts, references) in ra-qm-team/capa-officer of borghei/Claude-Skills.
Open the folder on GitHubat commit 4a698e8
Capa Officer 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 |
|---|---|---|---|---|---|---|
| Capa Officer this skillborghei/Claude-Skills | 886 | — | ~5.5k | Automated safety check: Pass | MIT | |
| Code Design Rationale Investigatorcursor/plugins | 10k | 9 repos | ~2.6k | Automated safety check: Pass | None | |
| OpenLogi macOS Permissions TriageAprilNEA/OpenLogi | 23k | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | |
| Bug Finder for daisyUIsaadeghi/daisyui | 43k | — | ~2.3k | Automated safety check: Pass | MIT | |
| Root Cause Debugginggarrytan/gstack | 136k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Review PRapache/shardingsphere | 21k | — | ~6.4k | Automated safety check: Pass | Apache-2.0 |
cursor/plugins
Digs into why code is shaped the way it is by checking git history, pull requests and connected tools in parallel, then reporting a cited read on the tradeoffs.
AprilNEA/OpenLogi
Decides whether an OpenLogi device problem on macOS is a privacy-permission (TCC) problem, using agent log lines, and says which identity needs which grant.
saadeghi/daisyui
Investigates suspected bugs in the daisyUI monorepo through read-only analysis, then writes a decision-ready fix plan in tmp/bugs without changing any product code.
garrytan/gstack
Investigates bugs, errors and stack traces in phases and requires a root-cause hypothesis to be confirmed before any fix is written.
apache/shardingsphere
Review Apache ShardingSphere or user-authorized downstream pull requests and PR discussions from public or authorized repository evidence.
tirth8205/code-review-graph
Traces a bug through a code knowledge graph, following callers, callees and execution flow before opening source files, within a small token budget.
borghei/Claude-Skills
Test and evaluation harness for AI agents — scenario suites, deterministic replay, regression diffing, cost and latency budgets.
borghei/Claude-Skills
Run delivery when AI coding and ops agents take tickets. An agent skill from borghei/Claude-Skills.
borghei/Claude-Skills
Check AI-generated marketing content and reviews for required disclosures under the EU AI Act, FTC rules and platform AI-label policies.
borghei/Claude-Skills
Idea to AI-generated prototype to customer validation to engineering handoff.
borghei/Claude-Skills
Analytics engineering across data modeling, dbt, transformation, and semantic layers.
borghei/Claude-Skills
Ansoff Matrix — 4-quadrant framework for growth options: market penetration, market/product development, and diversification.
Categories
CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification. Capa Officer is an agent skill from borghei/Claude-Skills. CAPA system management for medical device QMS, covering root cause analysis, corrective action planning, and effectiveness verification.
Capa Officer fits situations like: CAPA investigations; 5-Why and fishbone analysis; corrective action tracking.
Run `npx skills add borghei/Claude-Skills --skill capa-officer -a claude-code`. Or copy the skill folder (ra-qm-team/capa-officer in borghei/Claude-Skills) into .claude/skills/capa-officer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add borghei/Claude-Skills --skill capa-officer -a codex`. Or copy the skill folder (ra-qm-team/capa-officer in borghei/Claude-Skills) into .agents/skills/capa-officer 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 borghei/Claude-Skills --skill capa-officer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/capa-officer, .gemini/skills/capa-officer, .github/skills/capa-officer and .opencode/skills/capa-officer in your project.
Going by SKILL.md and its folder, Capa Officer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Capa Officer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.5k tokens (SKILL.md is roughly 22k 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 7.4k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Capa Officer: Code Design Rationale Investigator (cursor/plugins, 10k stars), OpenLogi macOS Permissions Triage (AprilNEA/OpenLogi, 23k stars), Bug Finder for daisyUI (saadeghi/daisyui, 43k stars) and Root Cause Debugging (garrytan/gstack, 136k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
borghei (a GitHub user) maintains it in borghei/Claude-Skills, which has 886 GitHub stars. The repository holds 354 skills in this directory. The repository was last updated on October 7, 2026.
Source: borghei/Claude-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.