Prd V08 Release Planning logo

Prd V08 Release Planning

Community
mattgierhart
prd-v08-release-planning

Define release criteria, deployment environments, and rollback strategies during PRD v0.8 Deployment & Ops. Triggers on requests to plan releases, define deployment criteria, or when user asks "how do we deploy?", "release criteria", "deployment plan", "rollback strategy", "go-live checklist". Outputs DEP- entries with deployment steps and release criteria.

Overview

Publishermattgierhart
RepositoryPRD-driven-context-engineering
Skill nameprd-v08-release-planning
Stars
179
Forks
11
Bundled files
4
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 4 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by mattgierhart on GitHub. Read the source before you install it.

Installation

Install the Prd V08 Release Planning AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mattgierhart/PRD-driven-context-engineering.git /tmp/PRD-driven-context-engineering
mkdir -p .claude/skills
cp -r /tmp/PRD-driven-context-engineering/plugins/prd-ce/skills/prd-v08-release-planning .claude/skills/prd-v08-release-planning
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Prd V08 Release Planning in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Prd V08 Release Planning on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Prd V08 Release Planning is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Release Planning

Position in workflow: v0.7 Implementation Loop → v0.8 Release Planning → v0.8 Runbook Creation

Execution Mode

Default is standard. See .claude/rules/08-skill-execution-modes.md for selection logic.

ModeWhat this skill produces
quickStaging→prod only; 3–5 release criteria; one rollback trigger
standardDev/staging/preview/prod environments; full criteria checklist; multiple rollback triggers; post-deploy validation
deepFull environments + IaC review + canary/blue-green strategy + risk-weighted criteria + post-mortem hooks

Consumes

This skill requires prior work from v0.7 Implementation Loop and v0.6-v0.9:

  • EPIC-* completed entries (from v0.7 Implementation Loop) — Finished work packages define what's being released; must have State=Complete, all TEST- passing
  • TEST-* test entries (from v0.7 Test Planning) — All TEST- must pass in staging before release criteria can be met
  • API-* endpoint contracts (referenced in EPIC Context & IDs) — Define SLA and performance baselines for release criteria
  • ENV-* environment specifications (from v0.6 Environment Setup) — Local/CI/CD/production configurations inform DEP- entries for each environment
  • ARC-* architecture decisions (from v0.6 Architecture Design) — System structure (monolith, microservices, deployment topology) drives environment setup
  • TECH-* technology stack (from v0.5 Technical Stack Selection) — Technology choices inform infrastructure requirements and deployment tooling
  • RISK-* high-priority entries (from v0.5 Risk Discovery) — High RISK- must be mitigated or explicitly accepted before release
  • KPI-* metrics (from v0.3 and v0.9) — Target KPI values inform monitoring baselines and rollback thresholds

This skill assumes v0.7 Implementation is complete with all EPIC- entries marked Complete and all TEST- passing.

Produces

This skill creates/updates:

  • DEP-* entries (deployment specifications, environment/criteria/rollback/validation types) — Release readiness checklist with environment configs, go/no-go criteria, rollback triggers and thresholds, post-deploy validation steps
  • Release readiness checklist — Pre-deploy validation matrix showing which DEP- criteria must be met before release proceeds
  • Rollback decision tree — Mapping of DEP- rollback triggers to execution procedures and escalation paths (feeds v0.8 Runbook Creation)

All DEP- entries are operational contracts, not confidence-based. They are:

  • Environment-specific (each environment from staging to production has defined configuration)
  • Verifiable (each criterion has a concrete check or metric threshold)
  • Enforceable (release stops if DEP- criteria not met)
  • Traceable (each DEP- links to EPIC-, TEST-, API-, KPI- that validate it)

Example DEP- entries:

markdown
DEP-001: Production Environment Configuration
Type: Environment
Stage: Pre-deploy

Description: AWS production environment setup for application
Name: production
Infrastructure: AWS us-east-1, ECS Fargate, RDS PostgreSQL
Configuration:
  - NODE_ENV=production
  - LOG_LEVEL=info
  - RATE_LIMIT=100/min
  - METRICS_COLLECTION=enabled
Secrets: AWS Secrets Manager, rotated monthly
Access: DevOps team (deploy), On-call (read-only access)

Linked IDs: ARC-001 (monolith structure), TECH-005 (AWS)

---

DEP-002: All Tests Pass in Staging
Type: Criteria
Stage: Pre-deploy

Description: Complete test suite must pass in staging environment before production release
Requirement: All TEST- entries pass with >95% success rate, including smoke tests and E2E tests
Verification: CI/CD pipeline reports green; test report generated and reviewed
Blocker: Yes — Release cannot proceed if this fails
Owner: QA Lead

Linked IDs: TEST-001 to TEST-050 (from EPIC-01 through EPIC-07)

---

DEP-003: Error Rate Rollback Trigger
Type: Rollback
Stage: Post-deploy

Description: Automatic rollback if error rate exceeds baseline post-deployment
Trigger: 5xx error rate exceeds pre-deployment baseline
Threshold: >2% of requests for 5 minutes (currently 0.5% baseline from MON-001)
Procedure:
  1. Alert on-call engineer (PagerDuty)
  2. Pause traffic to new version
  3. Revert to pre-deploy git tag
  4. Investigate root cause
Notification: #incidents Slack, PagerDuty, Engineering Lead

Linked IDs: MON-001 (error rate metric), RUN-002 (rollback procedure), API-001–020 (endpoints affected)

---

DEP-004: Post-Deployment Smoke Tests
Type: Validation
Stage: Post-deploy

Description: Automated smoke tests to verify critical user journeys work post-deployment
Check: All critical UJ- (UJ-000, UJ-001, UJ-005, UJ-010) complete successfully
Method: Automated (tests/e2e/smoke.spec.ts) + manual spot-check
Success Criteria: All journeys complete <2 seconds, no auth failures, data persists
Escalation: If smoke tests fail, execute DEP-003 rollback and investigate

Linked IDs: UJ-000/001/005/010 (critical journeys), TEST-050 (E2E suite)

Core Concept: Release as Contract

A release is not "code that works locally." It is a contract between development and operations—a formal handoff that includes everything needed to deploy, validate, and recover.

Release Components

ComponentPurposeOutput
Deployment EnvironmentWhere code runsDEP- (environment config)
Release CriteriaWhat must be true to deployDEP- (checklist)
Rollback TriggersWhen to revertDEP- (conditions)
Validation StepsHow to verify successDEP- (post-deploy checks)

Execution

  1. Inventory completed EPICs

    • Which EPIC- entries are "Complete"?
    • What API-, DBT-, FEA- are included in this release?
  2. Define deployment environments

    • Staging, Production, Preview
    • Environment-specific configurations
    • Secrets management approach
  3. Establish release criteria

    • All TEST- pass in staging
    • Performance baselines met (from MON-)
    • No critical RISK- blockers
    • Security review complete
  4. Define rollback triggers

    • Error rate thresholds
    • Latency thresholds
    • User-reported critical issues
    • Data integrity concerns
  5. Document validation steps

    • Post-deployment smoke tests
    • Key journey verification (UJ-)
    • Metric baseline confirmation
  6. Create DEP- entries with full traceability

DEP- Output Template

DEP-XXX: [Deployment Item Title]
Type: [Environment | Criteria | Rollback | Validation | Step]
Stage: [Pre-deploy | Deploy | Post-deploy | Rollback]

Description: [What this deployment item covers]

For Environment Type:
  Name: [staging | production | preview]
  Infrastructure: [Cloud provider, region, resources]
  Configuration: [Environment-specific settings]
  Secrets: [How secrets are managed]
  Access: [Who can deploy, who can access]

For Criteria Type:
  Requirement: [What must be true]
  Verification: [How to check this]
  Blocker: [Yes | No] — Does failure block deploy?
  Owner: [Who verifies]

For Rollback Type:
  Trigger: [What condition initiates rollback]
  Threshold: [Specific metric or condition]
  Procedure: [How to execute rollback]
  Notification: [Who to alert]

For Validation Type:
  Check: [What to verify post-deploy]
  Method: [Manual | Automated | Both]
  Success Criteria: [Expected result]
  Escalation: [What if validation fails]

Linked IDs: [EPIC-XXX, API-XXX, TEST-XXX related]

Example DEP- entries:

DEP-001: Production Environment Configuration
Type: Environment
Stage: Pre-deploy

Description: AWS production environment setup for main application

Name: production
Infrastructure: AWS us-east-1, ECS Fargate, RDS PostgreSQL
Configuration:
  - NODE_ENV=production
  - LOG_LEVEL=info
  - RATE_LIMIT=100/min
Secrets: AWS Secrets Manager, rotated monthly
Access: DevOps team (deploy), On-call (read-only)

Linked IDs: ARC-001, TECH-005
DEP-002: All Tests Pass in Staging
Type: Criteria
Stage: Pre-deploy

Description: Complete test suite must pass in staging environment

Requirement: All TEST- entries pass with >95% success rate
Verification: CI/CD pipeline green status, test report review
Blocker: Yes
Owner: QA Lead

Linked IDs: TEST-001 to TEST-050
DEP-003: Error Rate Rollback Trigger
Type: Rollback
Stage: Post-deploy

Description: Automatic rollback if error rate exceeds threshold

Trigger: 5xx error rate exceeds baseline
Threshold: >2% of requests for 5 minutes
Procedure:
  1. Alert on-call engineer
  2. Pause traffic to new version (if canary)
  3. Revert to previous known-good version
  4. Investigate root cause
Notification: #incidents Slack, PagerDuty

Linked IDs: MON-001, RUN-005

Environment Progression

StageEnvironmentPurposeGate
1DevelopmentEngineer testingTests pass locally
2StagingIntegration testingAll TEST- pass
3PreviewStakeholder reviewSign-off from PM
4ProductionLive usersAll DEP- criteria met

Release Criteria Categories

CategoryExamplesPriority
FunctionalTests pass, features workMust-have
PerformanceLatency <200ms, throughput >100rpsMust-have
SecurityNo critical vulns, secrets rotatedMust-have
OperationalRunbooks ready, monitoring activeShould-have
DocumentationRelease notes, API docs updatedShould-have

Rollback Strategy Patterns

PatternWhen to UseComplexity
Blue-GreenNeed instant rollback, can afford 2x infraMedium
CanaryGradual rollout, catch issues earlyHigh
RollingZero-downtime, standard approachLow
Feature FlagsDecouple deploy from releaseMedium

Anti-Patterns

PatternSignalFix
Deploy and prayNo validation steps definedAdd DEP- validation entries
Manual everythingNo automation, error-proneAutomate repeatable steps
No rollback plan"We'll figure it out"Define triggers and procedures upfront
Environment driftStaging doesn't match productionInfrastructure as code, sync configs
Missing criteria"It works on my machine"Formal DEP- criteria checklist
Unclear ownershipNo one knows who approvesAssign owner to each DEP-

Quality Gates

Before proceeding to Runbook Creation:

  • All deployment environments documented (DEP- Environment type)
  • Release criteria defined with clear blockers (DEP- Criteria type)
  • Rollback triggers specified with thresholds (DEP- Rollback type)
  • Post-deploy validation steps defined (DEP- Validation type)
  • Each DEP- entry has an owner
  • Criteria trace back to EPIC-, TEST-, API- IDs

Downstream Connections

ConsumerWhat It UsesExample
Runbook CreationDEP- rollback procedures become runbook inputsDEP-003 → RUN-005
Monitoring SetupDEP- thresholds inform alertingDEP-003 (2% error) → MON-001
v0.9 GTM StrategyRelease readiness gates launchAll DEP- met → GTM-001
EPIC- Future ReleasesDEP- becomes template for next releaseDEP-001 reused

Detailed References

  • Environment configuration examples: See references/environment-examples.md
  • DEP- entry template: See assets/dep-template.md
  • Rollback procedure guide: See references/rollback-guide.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Prd V08 Release Planning AI skill do?

Define release criteria, deployment environments, and rollback strategies during PRD v0.8 Deployment & Ops. Triggers on requests to plan releases, define deployment criteria, or when user asks "how do we deploy?", "release criteria", "deployment plan", "rollback strategy", "go-live checklist". Outputs DEP- entries with deployment steps and release criteria.

Why use Prd V08 Release Planning on TypingMind?

Because you install it once and use it with any model. Prd V08 Release Planning is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Prd V08 Release Planning in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mattgierhart/PRD-driven-context-engineering/tree/main/plugins/prd-ce/skills/prd-v08-release-planning. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Prd V08 Release Planning?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Prd V08 Release Planning?

As many as you like. As long as a model supports skills, you can use Prd V08 Release Planning with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Prd V08 Release Planning AI skill free?

Yes. It is published on GitHub by mattgierhart under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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