Files
personamanagmentlayer__pcl/stdlib/devops/cicd-expert/SKILL.md
ANGX 4e07a6a874 feat(stdlib)!: Agent Skills v1.0 conformance, resolver fix, and 17 new skills (#43)
* chore(stdlib): add conformance tooling for the skills library

The library had no gate that could express what a valid skill is, so
malformed frontmatter, over-budget files and credential literals went
unnoticed. These scripts define and enforce that contract.

- validate-skills.py: extend with Agent Skills v1.0 conformance -
  naming rules and directory agreement, an explicit activation trigger
  in the description, canonical layout, the 500-line SKILL.md budget,
  relative-link integrity, and two security rules (no unrestricted
  Bash(*) grant, no credential literals). Structural checks now read a
  skill as a whole so material moved into references/ still counts.
- split-skill-references.py: move the heaviest sections of an oversized
  SKILL.md into references/. Verifies line by line that every source
  line lands in exactly one output and refuses to write otherwise.
- generate-skill-inventory.py: derive SKILLS_INVENTORY.md and
  DIRECTORY_STRUCTURE.md from the tree so they cannot drift.
- generate-skill-catalog.py: index the canonical layout only, count
  references/ toward a skill's size, and stop truncating descriptions
  at 200 characters - the catalog is the discovery surface and must
  carry the activation trigger.
- .gitignore: Python bytecode from these scripts, and local .pcl state.

Reviewed-by: Security Analyst, Compiler Engineer, DevX Engineer

* fix(stdlib): bring all 174 skills to Agent Skills v1.0 conformance

No skill in the library was conformant. 41 of 175 failed the existing
validator outright, and none satisfied the spec. This pass fixes the
tree and records the result. See stdlib/CHANGELOG.md for the per-skill
versioning and migration notes.

BREAKING CHANGE: one skill removed, five moved, seven with a capability
withdrawn. Library version 2.0.0 -> 3.0.0.

Structure
- Convert 71 skills stored as flat files to <category>/<name>/SKILL.md,
  the layout the spec requires and the only one able to carry companion
  resources.
- Rename 5 directories that disagreed with their declared name:, so
  resolution by path and by name stop giving different answers. The
  repository docs already referenced the corrected paths.
- Merge the duplicate legal-technology skills into legaltech-expert and
  delete legal-tech-expert, carrying over everything the survivor
  lacked.

Metadata
- Repair 20 unparseable frontmatters: an H1 preceded the --- block and
  the key was skill_id: instead of name:, so any parser reading
  frontmatter at offset 0 saw no metadata at all. The objectives,
  prerequisites and outcome they carried become real body sections.
- Add the missing version: to 21 skills, fold keywords into tags, move
  expertise_level under metadata, and align 10 category: values with
  their directory.

Discoverability
- Give all 174 descriptions an explicit "Use when ..." trigger, built
  from each skill's own tags and section headings. 152 previously said
  only what the skill was about, leaving an agent nothing to match on.

Progressive disclosure
- Split 127 oversized skills, moving bulk material into references/ read
  on demand and leaving an index behind. A SKILL.md now averages 277
  lines instead of 644 and none exceeds 500. Verified lossless line by
  line against the previous revision.

Security
- Withdraw the unrestricted Bash(*) grant from 7 skills; none of the six
  non-financial ones contained a single shell command. finance-expert
  documents code that charges cards and reads bank accounts, so it now
  grants no shell at all.
- Remove credential literals: Stripe keys, two JWT signing keys, an
  Express session secret, a Redis password and WiFi credentials, all
  inlined in examples. They load from the environment now.
- finance-expert: idempotency keys were documented but absent, so a
  retry double-charged; webhook signature failures were not caught, so a
  forged event raised uncaught instead of being rejected;
  int(amount * 100) truncated fractions of a cent. All fixed, plus a
  money-movement guardrails section.
- trading-expert: place_order routed without any pre-trade risk check
  although a RiskManager sat unused in the next section. Risk validation
  now runs before routing and raises rather than returning a boolean a
  caller can ignore; live routing is opt-in.
- Correct an Ansible Vault example that showed plaintext under an
  "encrypted" label.

Also fixes 8 broken documentation links and a prematurely closed code
fence in skill-creator-expert that leaked template content into prose.

Per the repository file-organization policy, four stale progress reports
(SKILLS_MANIFEST, COMPLETE_SKILLS_LIBRARY, COMPLETE_LIBRARY_MANIFEST,
PHASE_3_DATA_ANALYTICS) move out of stdlib/ into the gitignored
.roadmap/status/stdlib/; they claimed 31 of 100 skills complete. They
appear here as deletions because .roadmap/ is not tracked.

Reviewed-by: Security Analyst, Language Designer, DevX Engineer,
             Documentation Specialist

* fix(skills): resolve standard library skills from their real layout

No stdlib skill was resolvable. SkillResolver looked for
`<stdlibDir>/<name>.md` with stdlibDir defaulting to `stdlib/skills`, a
directory that does not exist, and the path ignored the category level
the library actually uses. The two LSP providers had the same wrong
directory and scanned only one level deep, so neither completion nor
go-to-definition could see a skill either.

- skill-discovery.ts: enumerate skill entry points across the shapes in
  use - a flat `<name>.md`, `<name>/SKILL.md`, and
  `<category>/<name>/SKILL.md` - while skipping references/, scripts/
  and assets/, which hold supporting material rather than entry points.
- skill-resolver.ts: point stdlibDir at `stdlib`, and look the name up
  as a directory under any category as well as the two legacy shapes, so
  existing custom stdlib directories keep working. The name is used as a
  single path segment and rejected if it contains a separator or
  traversal, so a reference cannot escape the stdlib root.
- Rewire both LSP providers onto the shared discovery helper.

Tests: 13 new cases covering the layouts, ordering, the references/
exclusion, path-traversal rejection, and an integration test that
resolves real shipped skills by bare name.

Reviewed-by: Compiler Engineer, Runtime Architect, Security Analyst

* feat(stdlib): add 17 skills covering the library's largest gaps

Selection was driven by cross-referencing coverage against observed usage
rather than by intuition: Stack Overflow and GitHub Octoverse data for
which technologies matter, and install rankings on public agent-skill
registries for the shape of skills people actually use.

That comparison found a mismatch of form, not only of coverage. The
most-installed skills in the ecosystem are procedures - tdd, refactoring,
frontend design, browser automation - while all 174 existing skills were
domain knowledge shaped as <domain>-expert. The new workflows/ category
closes that gap and introduces the <activity>-workflow convention.

New category workflows/ (4)
- tdd-workflow, refactoring-workflow, debugging-workflow,
  code-review-workflow. code-review-workflow complements rather than
  replaces code-review-expert: procedure versus judgement. Merge them if
  the split proves confusing in use.

Applied AI (3) - the largest coverage gap
- llm-engineering-expert, rag-expert, agent-engineering-expert.
  The library referenced LLMs in tags but covered none of it: pgvector
  appeared zero times across 174 skills, LangChain once, MCP twice
  despite the repository shipping an MCP integration guide.

Capabilities (2)
- document-processing-expert (PDF, DOCX, XLSX, PPTX in one skill),
  browser-automation-expert (a client against third-party sites,
  distinct from playwright-expert which tests your own application).

Data (3)
- mysql-expert, the second most used database and previously absent
  while rarer stores had skills; analytical-databases-expert;
  stream-processing-expert.

Security (3)
- secrets-management-expert, supply-chain-security-expert (OWASP A03
  2025), identity-access-expert (OWASP A01).

Interface and meta (2)
- accessibility-expert: design/ held only design-expert, which despite
  its name covers software architecture, so WCAG had no home.
- skill-router: find and compose skills across 191, with a
  disambiguation table for overlapping pairs.

Grouping by decision context rather than by technology keeps the growth
to 17 skills for roughly 50 topics. Five vector stores live inside
rag-expert; four document formats inside document-processing-expert.
Per-tool depth sits in references/, which the progressive-disclosure work
in 3.0.0 made cheap.

Four further gaps are better served by extending existing skills -
PyTorch and TensorFlow in ml-expert, OpenTelemetry in monitoring-expert,
Pulumi and Crossplane in terraform-expert - and are not in this change.

Library 3.0.0 -> 3.1.0, additive only. Adds the workflows label to the
inventory generator; catalogue, inventory, structure and CHANGELOG
regenerated.

Reviewed-by: Product Strategist, Security Analyst, DevX Engineer,
             Documentation Specialist

* fix(test): create test directories with mkdtempSync

CodeQL flagged js/insecure-temporary-file (CWE-377) on both suites.
`join(tmpdir(), <predictable name>)` followed by mkdirSync creates a
world-readable directory at a guessable path, so another local user can
pre-create it or plant a symlink between the name being computed and the
directory being created.

mkdtempSync creates the directory atomically with a random suffix and
0700 permissions, which closes both the disclosure and the race.

One occurrence is new in this branch (skill-discovery); the other
pre-dates it in skill-resolver and is fixed in the same pass rather than
left as a known finding in a file this branch already touches.
2026-09-05 04:35:30 +02:00

7.2 KiB

name, version, description, category, tags, allowed-tools
name version description category tags allowed-tools
cicd-expert 1.1.0 Expert-level CI/CD with GitHub Actions, Jenkins, deployment pipelines, and automation. Use when the user mentions CI/CD, GitHub Actions, Jenkins, GitLab CI, deployment, or automation, or when the task involves CI/CD Fundamentals, Pipeline Design, Workflow Basics, or Docker Build and Push. devops
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github-actions
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gitlab-ci
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Bash(git:*, docker:*, kubectl:*)

CI/CD Expert

Expert guidance for Continuous Integration and Continuous Deployment, including GitHub Actions, Jenkins, GitLab CI, deployment strategies, and automation best practices.

Core Concepts

CI/CD Fundamentals

  • Continuous Integration (CI)
  • Continuous Delivery vs Deployment
  • Build automation
  • Test automation
  • Artifact management
  • Deployment strategies (blue-green, canary, rolling)

Pipeline Design

  • Pipeline stages and jobs
  • Parallel execution
  • Dependencies and artifacts
  • Caching strategies
  • Matrix builds
  • Conditional execution

Security

  • Secret management
  • Dependency scanning
  • SAST/DAST
  • Container scanning
  • Supply chain security
  • SBOM generation

GitLab CI

# .gitlab-ci.yml
stages:
  - build
  - test
  - security
  - deploy

variables:
  DOCKER_DRIVER: overlay2
  DOCKER_TLS_CERTDIR: '/certs'
  IMAGE_TAG: $CI_REGISTRY_IMAGE:$CI_COMMIT_SHORT_SHA

default:
  image: node:20-alpine
  cache:
    key: ${CI_COMMIT_REF_SLUG}
    paths:
      - node_modules/
      - .npm/

build:
  stage: build
  script:
    - npm ci --cache .npm --prefer-offline
    - npm run build
  artifacts:
    paths:
      - dist/
    expire_in: 1 week

test:unit:
  stage: test
  needs: [build]
  script:
    - npm ci --cache .npm --prefer-offline
    - npm run test:unit -- --coverage
  coverage: '/All files[^|]*\|[^|]*\s+([\d\.]+)/'
  artifacts:
    reports:
      junit: test-results/unit/*.xml
      coverage_report:
        coverage_format: cobertura
        path: coverage/cobertura-coverage.xml

test:integration:
  stage: test
  needs: [build]
  services:
    - postgres:15
    - redis:7
  variables:
    POSTGRES_DB: testdb
    POSTGRES_USER: testuser
    POSTGRES_PASSWORD: testpass
  script:
    - npm ci --cache .npm --prefer-offline
    - npm run test:integration
  artifacts:
    reports:
      junit: test-results/integration/*.xml

security:sast:
  stage: security
  image: returntocorp/semgrep
  script:
    - semgrep --config=auto --json --output=sast-report.json .
  artifacts:
    reports:
      sast: sast-report.json

security:dependency:
  stage: security
  script:
    - npm audit --audit-level=high
  allow_failure: true

docker:build:
  stage: build
  image: docker:24
  services:
    - docker:24-dind
  before_script:
    - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY
  script:
    - docker build -t $IMAGE_TAG .
    - docker push $IMAGE_TAG
  only:
    - main
    - tags

deploy:staging:
  stage: deploy
  image: bitnami/kubectl:latest
  environment:
    name: staging
    url: https://staging.example.com
  script:
    - kubectl config use-context $KUBE_CONTEXT_STAGING
    - kubectl set image deployment/web-app web-app=$IMAGE_TAG -n staging
    - kubectl rollout status deployment/web-app -n staging --timeout=5m
  only:
    - main

deploy:production:
  stage: deploy
  image: bitnami/kubectl:latest
  environment:
    name: production
    url: https://example.com
  script:
    - kubectl config use-context $KUBE_CONTEXT_PRODUCTION
    - kubectl set image deployment/web-app web-app=$IMAGE_TAG -n production
    - kubectl rollout status deployment/web-app -n production --timeout=5m
  when: manual
  only:
    - tags

Deployment Strategies

Blue-Green Deployment

# GitHub Actions
- name: Blue-Green Deployment
  run: |
    # Deploy to green environment
    kubectl apply -f k8s/green/
    kubectl rollout status deployment/app-green -n production

    # Run smoke tests
    npm run test:smoke -- --env=green

    # Switch traffic to green
    kubectl patch service app -n production -p '{"spec":{"selector":{"version":"green"}}}'

    # Keep blue for rollback
    echo "Blue environment kept for rollback"

Canary Deployment

# Deploy canary (10% traffic)
- name: Deploy Canary
  run: |
    kubectl apply -f k8s/canary/
    kubectl set image deployment/app-canary app=$IMAGE_TAG -n production

    # Monitor metrics
    sleep 300

    # Check error rate
    ERROR_RATE=$(curl -s "$PROMETHEUS_URL/api/v1/query?query=error_rate" | jq -r '.data.result[0].value[1]')

    if (( $(echo "$ERROR_RATE < 0.01" | bc -l) )); then
      # Promote canary to stable
      kubectl set image deployment/app-stable app=$IMAGE_TAG -n production
      kubectl scale deployment/app-canary --replicas=0 -n production
    else
      # Rollback canary
      kubectl scale deployment/app-canary --replicas=0 -n production
      exit 1
    fi

Rolling Deployment

apiVersion: apps/v1
kind: Deployment
metadata:
  name: app
spec:
  replicas: 10
  strategy:
    type: RollingUpdate
    rollingUpdate:
      maxSurge: 2 # Max 2 pods above desired count
      maxUnavailable: 1 # Max 1 pod unavailable during update
  template:
    spec:
      containers:
        - name: app
          image: myapp:v2
          readinessProbe:
            httpGet:
              path: /health
              port: 8080
            initialDelaySeconds: 5
            periodSeconds: 5

Best Practices

Pipeline Design

  • Keep pipelines fast (< 10 minutes for CI)
  • Fail fast on errors
  • Run tests in parallel
  • Cache dependencies
  • Use matrix builds for multiple versions
  • Separate CI and CD pipelines
  • Make pipelines idempotent

Security

  • Scan dependencies for vulnerabilities
  • Scan container images
  • Use least privilege for credentials
  • Rotate secrets regularly
  • Sign commits and artifacts
  • Use private registries
  • Implement SBOM generation

Artifact Management

  • Use semantic versioning
  • Tag images with git SHA
  • Store artifacts in registries
  • Implement retention policies
  • Generate build manifests
  • Track provenance

Monitoring & Observability

  • Track build success rate
  • Monitor pipeline duration
  • Alert on failures
  • Log all deployments
  • Track deployment frequency
  • Measure lead time and MTTR

Anti-Patterns to Avoid

❌ No automated tests: Deployments without tests are risky ❌ Manual deployments: Automate all deployments ❌ Shared credentials: Use role-based access ❌ No rollback strategy: Always have a rollback plan ❌ Long-running pipelines: Keep pipelines fast ❌ Environment drift: Use IaC for all environments ❌ No monitoring: Track deployment health ❌ Direct production access: Deploy through pipelines only

Reference Documentation

Detailed material lives alongside this skill and is read on demand:

  • GitHub Actions — Workflow Basics, Docker Build and Push, Deployment Workflow, Reusable Workflows, Composite Actions
  • Jenkins — Declarative Pipeline, Shared Library

Resources