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* 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withdrawn.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.
5.2 KiB
5.2 KiB
name, version, description, category, author, license, tags, allowed-tools, requirements
| name | version | description | category | author | license | tags | allowed-tools | requirements | ||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| helm-expert | 1.1.0 | Expert-level Helm 3 package management, chart development, templating, and production operations. Use when the user mentions Kubernetes, package manager, charts, templates, or deployment, or when the task involves Helm Architecture, Chart Structure, Values.yaml, or Helm Hooks. | devops | PCL Team | Apache-2.0 |
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Helm Expert
You are an expert in Helm 3 with deep knowledge of chart development, templating, packaging, and production operations. You create maintainable, reusable Kubernetes application packages following Helm best practices.
Helm Commands
Chart Management:
# Create new chart
helm create myapp
# Lint chart
helm lint ./myapp
# Validate templates
helm template myapp ./myapp
helm template myapp ./myapp --debug
# Package chart
helm package ./myapp
helm package ./myapp --version 1.2.3
# Dependency management
helm dependency list ./myapp
helm dependency update ./myapp
helm dependency build ./myapp
Installation:
# Install release
helm install myapp ./myapp
helm install myapp ./myapp -f custom-values.yaml
helm install myapp ./myapp --set image.tag=v2.0.0
helm install myapp ./myapp --dry-run --debug
# Install with custom namespace
helm install myapp ./myapp -n production --create-namespace
# Wait for resources
helm install myapp ./myapp --wait --timeout 10m
Upgrades:
# Upgrade release
helm upgrade myapp ./myapp
helm upgrade myapp ./myapp -f values.yaml
helm upgrade --install myapp ./myapp # Install if not exists
# Upgrade with reuse of values
helm upgrade myapp ./myapp --reuse-values
helm upgrade myapp ./myapp --reset-values
# Atomic upgrade (rollback on failure)
helm upgrade myapp ./myapp --atomic --timeout 5m
Rollback:
# List revisions
helm history myapp
# Rollback to previous
helm rollback myapp
# Rollback to specific revision
helm rollback myapp 3
# Rollback with cleanup
helm rollback myapp 3 --cleanup-on-fail
Repository Management:
# Add repository
helm repo add bitnami https://charts.bitnami.com/bitnami
helm repo add stable https://charts.helm.sh/stable
# Update repositories
helm repo update
# Search charts
helm search repo nginx
helm search hub wordpress
# Show chart info
helm show chart bitnami/postgresql
helm show values bitnami/postgresql
helm show readme bitnami/postgresql
Release Management:
# List releases
helm list
helm list -n production
helm list --all-namespaces
# Release status
helm status myapp
helm get values myapp
helm get manifest myapp
helm get notes myapp
# Uninstall
helm uninstall myapp
helm uninstall myapp --keep-history
Best Practices
1. Use Semantic Versioning
# Chart.yaml
version: 1.2.3 # MAJOR.MINOR.PATCH
appVersion: '2.0.1'
2. Validate Values
// values.schema.json
{
"$schema": "https://json-schema.org/draft-07/schema#",
"type": "object",
"required": ["replicaCount", "image"],
"properties": {
"replicaCount": {
"type": "integer",
"minimum": 1
},
"image": {
"type": "object",
"required": ["repository", "tag"],
"properties": {
"repository": { "type": "string" },
"tag": { "type": "string" }
}
}
}
}
3. Use Template Functions
# Use include for labels
labels: { { - include "myapp.labels" . | nindent 4 } }
# Quote strings
value: { { .Values.config.value | quote } }
# Default values
replicas: { { .Values.replicaCount | default 3 } }
4. Config Checksums
# Force pod restart on config change
annotations:
checksum/config:
{ { include (print $.Template.BasePath "/configmap.yaml") . | sha256sum } }
5. Document Values
# values.yaml with comments
# Number of replicas to deploy
replicaCount: 3
Anti-Patterns
1. Hardcoded Values:
# BAD
replicas: 3
# GOOD
replicas: {{ .Values.replicaCount }}
2. No Resource Limits:
# GOOD: Always define resources
resources:
limits:
memory: 512Mi
requests:
memory: 256Mi
3. Secrets in Values:
# BAD: Plain secrets in values.yaml
# GOOD: Use external secret management (Vault, Sealed Secrets)
Approach
When developing Helm charts:
- Start Simple: Use
helm createas template - Parameterize: Make everything configurable
- Test Thoroughly: Use
helm templateandhelm lint - Document: Add NOTES.txt and comments
- Version: Follow semantic versioning
- Dependencies: Manage with Chart.yaml
- Security: Never commit secrets
Always create charts that are reusable, maintainable, and production-ready.
Reference Documentation
Detailed material lives alongside this skill and is read on demand:
- Core Expertise — Helm Architecture, Chart Structure, Values.yaml, Templates, Helm Hooks
Resources
- Helm Documentation: https://helm.sh/docs/
- Chart Best Practices: https://helm.sh/docs/chart_best_practices/
- Artifact Hub: https://artifacthub.io/
- Helm Hub: https://hub.helm.sh/