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Plan and run programs using the SAFe x AI-DLC fusion. Use when turning an audit, epic, or initiative into Linear structure (initiative, projects, milestones, issues, sub-issues), organizing work as Units of Work and Bolts, wiring a dependency DAG, or running a Bolt swarm with a

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safe-agentic-workflow
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Claude Code

$ npx -y skills add bybren-llc/safe-agentic-workflow --skill safe-ai-dlc --agent claude-code

SKILL.md

safe-ai-dlc.SKILL.md
name: safe-ai-dlc
description: Plan and run programs using the SAFe x AI-DLC fusion. Use when turning an audit, epic, or initiative into Linear structure (initiative, projects, milestones, issues, sub-issues), organizing work as Units of Work and Bolts, wiring a dependency DAG, or running a Bolt swarm with a human-in-the-loop gate. Applies when work spans multiple issues and needs cadence, not just a single ticket.
user-invocable: false
allowed-tools: Read, Grep, Glob

SAFe x AI-DLC Skill

> **📋 TEMPLATE**: This skill uses `{{TICKET_PREFIX}}` and `{{MAIN_BRANCH}}` as placeholders. > Replace with your project's ticket prefix (e.g., `WOR`, `PROJ`) and base branch (e.g., `dev`, `main`).

Purpose

Encode the SAFe x AI-DLC fusion so agents structure multi-issue programs consistently: SAFe supplies the hierarchy and guardrails, AI-DLC supplies the cadence and the human checkpoint. Inside a program that adopts this fusion, sprints give way to **Bolts**, because agent teams elaborate, build, and verify in hours rather than weeks. Adopting the fusion is a per-program choice; the standard sprint path stays valid, and single isolated tickets route to `safe-workflow` instead.

When This Skill Applies

Invoke this skill when:

  • Turning an audit, epic, or initiative into an executable program
  • Structuring work in Linear as initiative, projects, milestones, issues, and sub-issues
  • Breaking an initiative into Units of Work and sequencing them into Bolts
  • Wiring dependencies so gates land before the fixes they verify
  • Running a Bolt: elaborate, validate with the human, construct, verify gates are real, evidence, merge

Do NOT use it for a single isolated ticket with no program context — use `safe-workflow` for that.

The Fusion Model

SAFe gives hierarchy, WSJF, roles, DoD, and dependencies. AI-DLC gives cadence (Bolts) and the human-in-the-loop. See `docs/guides/SAFE-AI-DLC-METHODOLOGY.md` for the full rationale.

| SAFe | AI-DLC | Linear | | ------------------ | ------------------------------------- | ----------------------------------------- | | Portfolio Epic | The Program | Initiative | | Epic/value stream | Program stream | Sub-initiative, or project priority | | Feature | Unit of Work | Project | | PI increment | Bolt | `bolt:N` label + target date | | Phase gate | Inception / Construction / Operations | Project Milestone (3 per project) | | Story/Enabler | Story | Issue | | Task | Mob task | Sub-issue | | WSJF/Role/DoD | prioritization / mob role / gate | description + `agent:*` labels + AC/DoD |

**The loop:** AI plans → AI asks clarifying questions → **HUMAN validates business context** → AI executes. Never skip the human validation step.

How to Structure Linear

Build top-down:

1. **Initiative** = the program. One per program. 2. **Projects** = Units of Work. One coherent outcome each. 3. **Milestones** = the three AI-DLC phases (Inception, Construction, Operations). Create all three per project. 4. **Issues** = Stories. Each carries the issue template below. Label with `bolt:N` and `agent:*` (lead role). 5. **Sub-issues** = Mob Elaboration tasks. Create during Inception, not before. 6. **Dependencies** = `blocks` / `blockedBy` edges forming the dependency DAG.

Program streams map to **sub-initiatives** where the Linear plan supports them; where it does not, encode the stream as **project priority** instead (highest-risk stream = Urgent/High).

Use `linear-sop` for the exact MCP tool calls, label prerequisites, and evidence templates.

Issue Template

Every issue description block contains:

Header:      <ID> — <title>  [{{TICKET_PREFIX}}-XXX]
WSJF:        <score>   MoSCoW: <Must|Should|Could|Won't>
Finding:     <source refs, e.g. audit finding IDs>
Phase:       <Inception | Construction | Operations>
Bolt:        <bolt:N>
Role:        <agent:* lead>
AC:          - acceptance criterion (testable)
DoD:         - merged to {{MAIN_BRANCH}}; relevant gate REAL and green; evidence in Linear;
               no silent suppression
Deps:        blocks: [...]   blockedBy: [...]
Sub-issues:  (Mob Elaboration tasks, added during Inception)

Dependency-Wiring Rules

Wire `blocks` / `blockedBy` so the enforcement lands **before** the thing it enforces:

  • **Fix the gate before the fix it verifies.** Harden CI or un-mask a check before landing the fix

that check is supposed to catch.

  • **Rotate before scrub.** Rotate a leaked credential before scrubbing it from history.
  • **Capture before alert.** Error capture or health check blocks the alerter and the poller built on

top of it.

  • **Upgrades before re-baseline.** Framework and SDK upgrades block audit re-baselining, which blocks

the scheduled recurring audit.

Dependency chains are usually rooted at CI hardening — one keystone issue tends to unblock a whole stream. Identify it and sequence its Bolt first.

Running a Bolt

1. **Open and elaborate** every issue in the Bolt (Mob Elaboration: sub-issues, unknowns, questions). 2. **Validate with the human** on all business, security, and policy decisions before Construction. 3. **Construct** in dependency order on `{{TICKET_PREFIX}}-` branches with SAFe commits, rebase-first. 4. **Verify gates are real** — a green check that still masks a failure is not an exit. 5. **Post evidence** to Linear (dev/staging/done) per `linear-sop`. 6. **Merge** — RTE prepares the PR; the human (HITL) merges. Exit = merged + real gates green + evidence posted.

Human-Gate Checklist

Route to the human, w

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SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for AI agent teams (Now With AI-DLC!) Works for any team with repeatable processes: Software, Marketing, Research, Legal, Operations.

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Which coding agents can use safe-ai-dlc?
safe-ai-dlc 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.