Implement imperative Terraform Provider actions at resource lifecycle events using the Plugin Framework.
Works with
Supports before/after create and before/after update lifecycle triggers (destroy events not available in Terraform 1.14.0)
Requires proper schema definition with correct framework types, ElementType for collections, and validators for input validation
Includes progress reporting, timeout management, and comprehensive error handling for long-running operations
Implements polling
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionprovider-actionsExecute the skills CLI command in your project's root directory to begin installation:
Fetches provider-actions from hashicorp/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate provider-actions. Access via /provider-actions in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Terraform Actions enable imperative operations during the Terraform lifecycle. Actions are experimental features that allow performing provider operations at specific lifecycle events (before/after create, update, destroy).
References:
Actions follow the standard service package structure:
internal/service/<service>/
├── <action_name>_action.go # Action implementation
├── <action_name>_action_test.go # Action tests
└── service_package_gen.go # Auto-generated service registration
Documentation structure:
website/docs/actions/
└── <service>_<action_name>.html.markdown # User-facing documentation
Changelog entry:
.changelog/
└── <pr_number_or_description>.txt # Release note entry
Actions use the Terraform Plugin Framework with a standard schema pattern:
func (a *actionType) Schema(ctx context.Context, req action.SchemaRequest, resp *action.SchemaResponse) {
resp.Schema = schema.Schema{
Attributes: map[string]schema.Attribute{
// Required configuration parameters
"resource_id": schema.StringAttribute{
Required: true,
Description: "ID of the resource to operate on",
},
// Optional parameters with defaults
"timeout": schema.Int64Attribute{
Optional: true,
Description: "Operation timeout in seconds",
Default: int64default.StaticInt64(1800),
Computed: true,
},
},
}
}
Pay special attention to the schema definition - common issues after a first draft:
Type Mismatches
types.String instead of fwtypes.String in model structstypes.StringType instead of fwtypes.StringType in schemaList/Map Element Types
// WRONG - missing ElementType
"items": schema.ListAttribute{
Optional: true,
}
// CORRECT
"items": schema.ListAttribute{
Optional: true,
ElementType: fwtypes.StringType,
}
Computed vs Optional
Optional: true and Computed: trueComputed unless they have defaultsValidator Imports
// Ensure proper imports
"github.com/hashicorp/terraform-plugin-framework-validators/int64validator"
"github.com/hashicorp/terraform-plugin-framework-validators/stringvalidator"
Region/Provider Attribute
Nested Attributes
Before submitting, verify:
go build to catch type mismatchesThe Invoke method contains the action logic:
func (a *actionType) Invoke(ctx context.Context, req action.InvokeRequest, resp *action.InvokeResponse) {
var data actionModel
resp.Diagnostics.Append(req.Config.Get(ctx, &data)...)
// Create provider client
conn := a.Meta().Client(ctx)
// Progress updates for long-running operations
resp.Progress.Set(ctx, "Starting operation...")
// Implement action logic with error handling
// Use context for timeout management
// Poll for completion if async operation
resp.Progress.Set(ctx, "Operation completed")
}
resp.SendProgress(action.InvokeProgressEvent{...}) for real-time updatescontext.WithTimeout() for API callsresp.Diagnostics.AddError()Example error handling:
// Handle specific errors
var notFound *types.ResourceNotFoundException
if errors.As(err, ¬Found) {
resp.Diagnostics.AddError(
"Resource Not Found",
fmt.Sprintf("Resource %s was not found", resourceID),
)
return
}
// Generic error handling
resp.Diagnostics.AddError(
"Operation Failed",
fmt.Sprintf("Could not complete operation for %s: %s", resourceID, err),
)
a.Meta().<Service>Client(ctx)For operations that require waiting for completion:
result, err := wait.WaitForStatus(ctx,
func(ctx context.Context) (wait.FetchResult[*ResourceType], error) {
// Fetch current status
resource, err := findResource(ctx, conn, id)
if err != nil {
return wait.FetchResult[*ResourceType]{}, err
}
return wait.FetchResult[*ResourceType]{
Status: wait.Status(resource.Status),
Value: resource,
}, nil
},
wait.Options[*ResourceType]{
Timeout: timeout,
Interval: wait.FixedInterval(5 * time.Second),
SuccessStates: []wait.Status{"AVAILABLE", "COMPLETED"},
TransitionalStates: []wait.Status{"CREATING", "PENDING"},
ProgressInterval: 30 * time.Second,
ProgressSink: func(fr wait.FetchResult[any], meta wait.ProgressMeta) {
resp.SendProgress(action.InvokeProgressEvent{
Message: fmt.Sprintf("Status: %s, Elapsed: %v", fr.Status, meta.Elapsed.Round(time.Second)),
}✓Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
✓Save 3-5 hours/week on communication overhead
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.8★★★★★74 reviews- SShikha Mishra★★★★★Dec 28, 2024
I recommend provider-actions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- MMateo Liu★★★★★Dec 28, 2024
Useful defaults in provider-actions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- AAma Malhotra★★★★★Dec 24, 2024
provider-actions fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- AAlexander Abebe★★★★★Dec 24, 2024
provider-actions is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- AAnika Abebe★★★★★Dec 24, 2024
provider-actions has been reliable in day-to-day use. Documentation quality is above average for community skills.
- MMateo Nasser★★★★★Dec 20, 2024
provider-actions reduced setup friction for our internal harness; good balance of opinion and flexibility.
- KKwame Thompson★★★★★Nov 23, 2024
Useful defaults in provider-actions — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- YYash Thakker★★★★★Nov 19, 2024
provider-actions fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- KKwame Thomas★★★★★Nov 15, 2024
I recommend provider-actions for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- AArjun Dixit★★★★★Nov 15, 2024
Keeps context tight: provider-actions is the kind of skill you can hand to a new teammate without a long onboarding doc.
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