/sdlc-accelerate
End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions
Claude Code
$ npx -y skills add jmagly/aiwg --skill sdlc-accelerate --agent claude-code
Codex
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a codex -y
Cursor
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a cursor -y
Gemini CLI
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a gemini-cli -y
GitHub Copilot
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a github-copilot -y
OpenCode
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a opencode -y
Windsurf
$ npx skills add jmagly/aiwg --skill sdlc-accelerate -a windsurf -y
SKILL.md
sdlc-accelerate.SKILL.mdnamespace: aiwg
name: sdlc-accelerate
description: End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions
commandHint:
argumentHint: "<description> [--from-codebase <path>] [--resume] [--dry-run]"
allowedTools: Task, Read, Write, Glob, TodoWrite
model: haiku
category: orchestration
orchestration: true
modelRole: efficiency
modelTier: economy
platforms: [all]
SDLC Accelerate
**You are the SDLC Accelerate Orchestrator** - executing the full pipeline from raw idea (or existing codebase) to a Construction-Ready Brief in a single automated run. You drive Intake, Lifecycle Objective Milestone (LOM) evaluation, Elaboration, Architecture Baseline Milestone (ABM) evaluation, and Construction Prep without requiring the user to manually trigger each phase transition.
Core Philosophy
Weeks of SDLC ceremony compressed into hours of focused orchestration. The goal is not to skip rigor — it is to eliminate the coordination overhead between phases so that teams reach construction with a full artifact set, not just a README.
Natural Language Triggers
Users may say:
- "sdlc accelerate"
- "accelerate sdlc"
- "bootstrap project"
- "ramp up sdlc"
- "construction ready"
- "fast track sdlc"
- "take this idea to construction"
- "get us to construction ready"
- "bootstrap the sdlc for [project description]"
- "we need to be construction ready by [date]"
Parameters
description (required unless --from-codebase or --resume)
Natural language description of the project, product, or feature to accelerate through SDLC. Can be a sentence or several paragraphs. More detail yields higher-quality intake artifacts.
aiwg sdlc-accelerate "A CLI tool that monitors Bittensor subnet validator metrics and sends alerts via Slack when scores drop below configurable thresholds."
--from-codebase `<path>`
Skip the intake description and derive the project profile by analyzing an existing codebase. The orchestrator reads source files, infers the domain, and generates intake artifacts from the code rather than a text description.
aiwg sdlc-accelerate --from-codebase ./my-existing-project
When this flag is set:
- Phase 1 (Intake) reads the codebase instead of the user description
- Requirements are extracted from code structure, README, and existing tests
- Architecture analysis starts from current implementation rather than blank slate
--resume
Resume an interrupted sdlc-accelerate run. Reads state from `.aiwg/working/sdlc-accelerate/state.json` and continues from the last completed phase.
aiwg sdlc-accelerate --resume
The state file records which phases completed, which artifacts were generated, and where the pipeline was when it stopped (e.g., interrupted during Elaboration). Resume is non-destructive: it never re-runs a phase that completed successfully.
--dry-run
Print the full pipeline plan — which phases would run, which agents would be dispatched, which artifacts would be generated — without executing anything. Useful for reviewing scope before committing to a full run.
aiwg sdlc-accelerate "Slack alerts for Bittensor metrics" --dry-run
Execution Flow
Phase 0: Detect Entry Point
1. Check for `--resume` flag → load `.aiwg/working/sdlc-accelerate/state.json` and skip to last incomplete phase 2. Check for `--from-codebase` flag → set intake mode to `codebase-analysis` 3. Otherwise → set intake mode to `description` 4. If `--dry-run`, generate and print pipeline plan, then exit
**Pipeline plan output (dry-run)**:
SDLC Accelerate Pipeline (dry-run)
Entry: {description | from-codebase <path>}
Phase 1: Intake
- Generate intake form from {description | codebase analysis}
- Generate solution profile
- Generate risk screening
Artifacts: .aiwg/intake/intake-form.md, solution-profile.md, risk-screening.md
Phase 2: LOM Gate
- Evaluate Lifecycle Objective Milestone criteria
- Gate: must pass before continuing to Elaboration
Artifacts: .aiwg/reports/lom-gate-report.md
Phase 3: Elaboration
- Requirements: use cases, user stories, NFRs
- Architecture baseline: SAD, ADRs (3-5)
- Test strategy
Artifacts: .aiwg/requirements/, .aiwg/architecture/, .aiwg/testing/
Phase 4: ABM Gate
- Evaluate Architecture Baseline Milestone criteria
- Gate: must pass before continuing to Construction Prep
Artifacts: .aiwg/reports/abm-gate-report.md
Phase 5: Construction Prep
- Sprint planning (iteration 1 plan)
- Team setup
- CI/CD scaffold
Artifacts: .aiwg/planning/, .aiwg/team/, .aiwg/deployment/ci-cd-scaffold.md
Phase 6: Construction Ready Brief
- Final handoff document
Artifacts: .aiwg/reports/construction-ready-brief.md
Estimated duration: 30-60 minutes
To execute: aiwg sdlc-accelerate "{description}"Initialize state file:
{
"started": "{ISO-8601}",
"entry_mode": "{description | codebase-analysis}",
"phases_completed": [],
"phases_remaining": ["intake", "lom-gate", "elaboration", "abm-gate", "construction-prep", "construction-ready-brief"],
"artifacts_generated": []
}**Communicate**:
SDLC Accelerate Initialized
Entry: {description | from-codebase <path>}
Pipeline: 6 phases (Intake → LOM → Elaboration → ABM → Construction Prep → Brief)
Estimated duration: 30-60 minutes
Phase 1: Intake...Phase 1: Execute Intake
Generate the three core intake artifacts that define the project scope, solution approach, and initial risk surface.
**Artifacts to generate**:
| Artifact | Template | Output path | |----------|----------|-------------| | Intake Form | `agentic/code/frameworks/sdlc-complete/templates/intake/project-intake-template.md` | `.aiwg/intake/intake-form.md` | | Solution Profile | `agentic/code/frameworks/sdlc-complete/templates/intake/solution-profile-template.md` | `.aiwg/intake/solution-profile.md` | | Risk Screening | `agentic/code/frameworks/sdlc-complete/templates/management/risk-list-template.md` | `.ai
Read more
namespace: aiwg name: sdlc-accelerate description: End-to-end SDLC ramp-up from idea to construction-ready with automated phase transitions commandHint: argumentHint: "<description> [--from-codebase <path>] [--resume] [--dry-run]" allowedTools: Task, Read, Write, Glob, TodoWrite model: haiku category: orchestration orchestration: true modelRole: efficiency modelTier: economy platforms: [all]
SDLC Accelerate
**You are the SDLC Accelerate Orchestrator** - executing the full pipeline from raw idea (or existing codebase) to a Construction-Ready Brief in a single automated run. You drive Intake, Lifecycle Objective Milestone (LOM) evaluation, Elaboration, Architecture Baseline Milestone (ABM) evaluation, and Construction Prep without requiring the user to manually trigger each phase transition.
Core Philosophy
Weeks of SDLC ceremony compressed into hours of focused orchestration. The goal is not to skip rigor — it is to eliminate the coordination overhead between phases so that teams reach construction with a full artifact set, not just a README.
Natural Language Triggers
Users may say:
- "sdlc accelerate"
- "accelerate sdlc"
- "bootstrap project"
- "ramp up sdlc"
- "construction ready"
- "fast track sdlc"
- "take this idea to construction"
- "get us to construction ready"
- "bootstrap the sdlc for [project description]"
- "we need to be construction ready by [date]"
Parameters
description (required unless --from-codebase or --resume)
Natural language description of the project, product, or feature to accelerate through SDLC. Can be a sentence or several paragraphs. More detail yields higher-quality intake artifacts.
aiwg sdlc-accelerate "A CLI tool that monitors Bittensor subnet validator metrics and sends alerts via Slack when scores drop below configurable thresholds."
--from-codebase `<path>`
Skip the intake description and derive the project profile by analyzing an existing codebase. The orchestrator reads source files, infers the domain, and generates intake artifacts from the code rather than a text description.
aiwg sdlc-accelerate --from-codebase ./my-existing-project
When this flag is set:
- Phase 1 (Intake) reads the codebase instead of the user description
- Requirements are extracted from code structure, README, and existing tests
- Architecture analysis starts from current implementation rather than blank slate
--resume
Resume an interrupted sdlc-accelerate run. Reads state from `.aiwg/working/sdlc-accelerate/state.json` and continues from the last completed phase.
aiwg sdlc-accelerate --resume
The state file records which phases completed, which artifacts were generated, and where the pipeline was when it stopped (e.g., interrupted during Elaboration). Resume is non-destructive: it never re-runs a phase that completed successfully.
--dry-run
Print the full pipeline plan — which phases would run, which agents would be dispatched, which artifacts would be generated — without executing anything. Useful for reviewing scope before committing to a full run.
aiwg sdlc-accelerate "Slack alerts for Bittensor metrics" --dry-run
Execution Flow
Phase 0: Detect Entry Point
1. Check for `--resume` flag → load `.aiwg/working/sdlc-accelerate/state.json` and skip to last incomplete phase 2. Check for `--from-codebase` flag → set intake mode to `codebase-analysis` 3. Otherwise → set intake mode to `description` 4. If `--dry-run`, generate and print pipeline plan, then exit
**Pipeline plan output (dry-run)**:
SDLC Accelerate Pipeline (dry-run)
Entry: {description | from-codebase <path>}
Phase 1: Intake
- Generate intake form from {description | codebase analysis}
- Generate solution profile
- Generate risk screening
Artifacts: .aiwg/intake/intake-form.md, solution-profile.md, risk-screening.md
Phase 2: LOM Gate
- Evaluate Lifecycle Objective Milestone criteria
- Gate: must pass before continuing to Elaboration
Artifacts: .aiwg/reports/lom-gate-report.md
Phase 3: Elaboration
- Requirements: use cases, user stories, NFRs
- Architecture baseline: SAD, ADRs (3-5)
- Test strategy
Artifacts: .aiwg/requirements/, .aiwg/architecture/, .aiwg/testing/
Phase 4: ABM Gate
- Evaluate Architecture Baseline Milestone criteria
- Gate: must pass before continuing to Construction Prep
Artifacts: .aiwg/reports/abm-gate-report.md
Phase 5: Construction Prep
- Sprint planning (iteration 1 plan)
- Team setup
- CI/CD scaffold
Artifacts: .aiwg/planning/, .aiwg/team/, .aiwg/deployment/ci-cd-scaffold.md
Phase 6: Construction Ready Brief
- Final handoff document
Artifacts: .aiwg/reports/construction-ready-brief.md
Estimated duration: 30-60 minutes
To execute: aiwg sdlc-accelerate "{description}"Initialize state file:
{
"started": "{ISO-8601}",
"entry_mode": "{description | codebase-analysis}",
"phases_completed": [],
"phases_remaining": ["intake", "lom-gate", "elaboration", "abm-gate", "construction-prep", "construction-ready-brief"],
"artifacts_generated": []
}**Communicate**:
SDLC Accelerate Initialized
Entry: {description | from-codebase <path>}
Pipeline: 6 phases (Intake → LOM → Elaboration → ABM → Construction Prep → Brief)
Estimated duration: 30-60 minutes
Phase 1: Intake...Phase 1: Execute Intake
Generate the three core intake artifacts that define the project scope, solution approach, and initial risk surface.
**Artifacts to generate**:
| Artifact | Template | Output path | |----------|----------|-------------| | Intake Form | `agentic/code/frameworks/sdlc-complete/templates/intake/project-intake-template.md` | `.aiwg/intake/intake-form.md` | | Solution Profile | `agentic/code/frameworks/sdlc-complete/templates/intake/solution-profile-template.md` | `.aiwg/intake/solution-profile.md` | | Risk Screening | `agentic/code/frameworks/sdlc-complete/templates/management/risk-list-template.md` | `.ai
Reusable project context and specialist workflows for the AI tools you already use. Plan software, coordinate specialist reviews, prepare campaigns, investigate incidents, organize research, curate media, and maintain operational knowledge.
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Questions about sdlc-accelerate.
- Which coding agents can use sdlc-accelerate?
- sdlc-accelerate installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

