{"slug":"coleam00-piv-slice-epic","name":"piv-slice-epic","description":"Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes.","long_description":"---\nname: piv-slice-epic\ndescription: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes.\nargument-hint: \"[epic + its linked architecture page (paths or Confluence/Jira URLs); a PRD for greenfield]\"\n---\n\n# /piv-slice-epic — Slice an Epic into PIV-Sized Tickets\n\nThe bridge between a strategic doc and the PIV loop. The epic doc is the destination; the PIV loop is the unit of motion; **tickets are the bridge.** `/piv-slice-epic` does the slicing.\n\n## Input\n\n- `$ARGUMENTS` — the **epic** to slice **and its architecture decisions**. These arrive as **one doc or two**:\n  - a single architected epic that carries its own `## Architecture` section, **or**\n  - an **epic plus a separate, linked architecture page** (the common case when the architecture lives beside the\n    epic — e.g. a Confluence epic page and its linked architecture page, both passed as URLs). **Read both.**\n  - greenfield: a PRD stands in for the epic.\n  When the inputs are tracker references (Confluence/Jira URLs or keys), fetch them from the source via the\n  Atlassian MCP. **This is the load-bearing input:** the architecture names the seams, data model, and missing\n  pieces the slices must respect.\n- **Not prime-dependent.** A primed session helps, but isn't required. If the codebase surface isn't loaded, this\n  skill orients itself (Step 2) before slicing.\n\n## Process\n\n### Step 1 — Read the sources\n\nRead the epic fully (goal, user stories, acceptance criteria, out-of-scope) **and its architecture decisions,\nwhether they are an `## Architecture` section on the epic or a separate linked page** (the approach, stack, data\nmodel, missing pieces, spikes). If the architecture is a separate page, fetch and read it too. The slicing has to\nrespect those calls.\n\n### Step 2 — Orient on the code surface (if not already primed)\n\nSlicing needs enough codebase awareness to judge what's independent vs dependent — file overlap, shared seams. If the session is already oriented, skip this. Otherwise **explore it yourself — don't depend on a prior `/prime-codebase`**: starting from the architecture's named seams, data model, and missing pieces, read the relevant files/dirs (e.g. the adapter interface, the orchestrator, the ingestion pipeline) to see what exists, what's reused, and where new code lands. Just enough to slice confidently — not a full re-derivation.\n\n### Step 3 — Decompose into PIV-sized slices\n\nBreak the epic into tickets. **Scope these for AI, not for a human backlog** — an agent loop carries far more than\na traditional ticket: a small-to-medium implementation *phase*, ~8–10 subtasks, often **500–1500 lines of change\n(20–50% tests)**. A small epic might even be a single ticket. A well-sized ticket:\n\n- Is **one testable concern** — easy to **test, review, and prove** on its own.\n- Is one coherent unit — a vertical slice of behavior, not a horizontal layer.\n- Has clear acceptance criteria of its own.\n- Is small enough that **one focused loop can one-shot it without context rot** — not so large the agent loses\n  the thread and returns diminish.\n\nSplit by **dependency**, by **concern**, or as a **slim end-to-end slice** (prove the whole flow thinly, then\nfatten it next loop) — whatever makes each ticket easiest to prove. If a slice is too big to test or review in\none honest pass, split it further. The *planning detail* stays high regardless — it's the *scope* that's larger.\n\n### Step 4 — Slice for parallelizability\n\nMap dependencies between tickets. **Independent tickets** — ones that don't touch the same files or rely on each other's output — can run in **parallel worktrees** (see `/worktree-create`). Mark which tickets are independent and which form a dependency chain. Slicing along vertical-slice-architecture seams maximizes independence.\n\n**Plan just-in-time:** a dependent ticket waits until its dependency is *implemented*, not just sliced — building the dependency informs the dependent's plan, so planning it early plans against a guess. Independent tickets can be planned and run in parallel; dependent ones wait their turn.\n\n### Step 5 — Write the ticket breakdown\n\nWrite the tickets to your tracker (Jira via the Atlassian MCP, Linear, GitHub Issues, Archon's tasks) — or to a\nlocal `docs/tickets/<epic-slug>.md` if you're solo or have no tracker. Either way, **every ticket carries its own\ncontext** — that's what lets a loop pick it up later without re-reading the whole epic:\n\n```\n# Ticket Breakdown — <epic name>\n\n## Epic summary — goal in 2-3 lines\n## Tickets\n   ### TICKET-1 — <title>\n   - Scope / acceptance criteria — one testable concern\n   - Per-ticket context: the doc sections, guides, and seams this ticket needs\n     (e.g. \"source-adapter guide · seam: adapter interface · AC #2 + #4 from the epic\")\n   - Files touched (estimate) · rough size (~500–1500 lines, incl. tests)\n   - Depends on: <none / TICKET-x>\n   ### TICKET-2 — ...\n## Dependency graph\n   <text or mermaid graph showing the order + parallel groups>\n## Suggested execution order\n   Wave 1 (parallel): TICKET-1, TICKET-3\n   Wave 2: TICKET-2 (after TICKET-1 is implemented)\n```\n\n## Output\n\nA ticket breakdown in your tracker (or `docs/tickets/<epic-slug>.md`). Each ticket then enters its own PIV loop —\nstraight to `/piv-plan-implementation` if it's well-scoped (it primes what it needs), or `/prime-codebase` first if it needs more\ncodebase orientation. **Priming is optional**; the per-ticket context above is what makes that possible.\n\n## Notes\n\n- Issue management is **tool-agnostic**: Jira (via Atlassian MCP), Linear, Notion, GitHub Issues, Archon's tasks — or just a folder of markdown files if you're solo. The tracker doesn't matter; the goal is to **split the work just enough that each loop has the highest chance of one-shot success, so you can automate the loop.**\n- Greenfield: the same slicing applies to MVP phases instead of epic tickets.\n","tagline":"Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architectur","category":"coding-agents","tags":["agent-skill"],"author":"coleam00","verified":false,"attribution":{"status":"registry_indexed","statusLabel":"Registry indexed","shortLabel":"REGISTRY INDEXED","sourceLabel":"github fast track","sourceDetail":"coleam00/skills","creatorName":"coleam00","creatorUrl":"https://github.com/coleam00","sourceUrl":"https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic","indexedBy":"OpenAgentSkill community index","claimUrl":"https://www.openagentskill.com/skills/coleam00-piv-slice-epic#claim-this-skill","claimCta":"Claim this skill","trustNote":"This listing was indexed from public sources and is not marked official until a maintainer claim is approved.","publicNote":"Attribution links to the public repository or creator profile. 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After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"piv-slice-epic\" from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). 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Report success only after the skill is installed and a minimal verification passes."},{"id":"claude-code","label":"Claude Code","kind":"agent-prompt","value":"Add \"piv-slice-epic\" as a Claude Code skill from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes."},{"id":"cursor","label":"Cursor","kind":"agent-prompt","value":"Turn \"piv-slice-epic\" from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. 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Use Resolve, run one narrow sandbox task, then report the result.","metrics":{"totalOutcomes":0,"successfulOutcomes":0,"failedOutcomes":0,"installAttempts":0,"installSuccessRate":null,"successRate":null,"recentSuccessRate":null,"recentFailureRate":null,"riskBlocked":0,"setupRequired":0,"notRelevant":0,"avgOutputQuality":null,"avgTimeToUsefulMs":null,"productionOutcomes":0,"humanReviewRequired":0,"uniqueAgents":0,"lastOutcomeAt":null},"signals":[],"penalties":["No real agent outcome evidence yet"]},"audit":{"score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","warnings":["Quality score needs review"]},"safety_gate":{"tier":"reviewed","label":"Reviewed with permission notes","auto_install_policy":"review","auto_install_allowed":false,"human_review_required":true,"blocked":false,"recommended_action":"Require human approval before installing into a real workspace."},"quality":{"score":73,"label":"Strong"},"supply":{"track":"Coding and developer agents","scenario":"GitHub 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notes."}},"endpoints":{"web":"https://www.openagentskill.com/skills/coleam00-piv-slice-epic","api":"https://www.openagentskill.com/api/agent/skills/coleam00-piv-slice-epic","audit":"https://www.openagentskill.com/skills/coleam00-piv-slice-epic/audit","eval":"https://www.openagentskill.com/api/agent/evals?slug=coleam00-piv-slice-epic&task=Use%20piv-slice-epic%20in%20an%20agent%20workflow&max_risk=medium","resolve":"https://www.openagentskill.com/api/agent/resolve?task=Use%20piv-slice-epic%20in%20an%20agent%20workflow&agent=codex&max_risk=medium","receipt":"https://www.openagentskill.com/api/agent/receipt?task=Use%20piv-slice-epic%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text","install":"https://www.openagentskill.com/api/skills/coleam00-piv-slice-epic/install","manifest":"https://www.openagentskill.com/api/registry/manifest/coleam00-piv-slice-epic"}},"supply_profile":{"track":{"slug":"coding","label":"Coding and developer 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review"]},"coverageTags":["Coding","GitHub automation","coding-agents","agent-skill"]},"audit":{"audit_score":83,"risk_level":"safe_to_try","risk_label":"Safe to try","quality_score":73,"trust_score":79,"maintenance_score":100,"security_score":85,"install_score":92,"warnings":["Quality score needs review"]},"quality_signals":{"model":"v2","star_score":18.67,"usage_score":0,"review_score":5.1,"metadata_score":3,"freshness_score":15},"platforms":["Claude Code"],"use_cases":[{"slug":"github-automation","title":"GitHub automation","url":"https://www.openagentskill.com/use-cases/github-automation"},{"slug":"coding-agents","title":"Coding agents","url":"https://www.openagentskill.com/use-cases/coding-agents"},{"slug":"local-desktop","title":"Local desktop","url":"https://www.openagentskill.com/use-cases/local-desktop"},{"slug":"browser-automation","title":"Browser automation","url":"https://www.openagentskill.com/use-cases/browser-automation"}],"stacks":[{"slug":"coding-review-agent","title":"Coding review agent","url":"https://www.openagentskill.com/collections/coding-review-agent"},{"slug":"browser-qa-agent","title":"Browser QA agent","url":"https://www.openagentskill.com/collections/browser-qa-agent"},{"slug":"content-growth-agent","title":"Content growth agent","url":"https://www.openagentskill.com/collections/content-growth-agent"}],"install":"npx skills add coleam00/skills --skill piv-slice-epic","install_targets":[{"id":"openagentskill-cli","label":"CLI","title":"OpenAgentSkill CLI","kind":"command","value":"npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.3.0/openagentskill-0.3.0.tgz add coleam00-piv-slice-epic","description":"Resolve policy, run the source installer safely, and report a verified install receipt.","copyLabel":"Copy command"},{"id":"codex","label":"Codex","title":"Codex install prompt","kind":"agent-prompt","value":"Install the \"piv-slice-epic\" agent skill from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic. Read its SKILL.md or equivalent instructions first, install only the files needed for this workspace, and summarize any required setup before using it. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"codex\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Give Codex a repo-aware install prompt when the skill is not available through a local CLI.","copyLabel":"Copy prompt"},{"id":"claude-code","label":"Claude Code","title":"Claude Code skill prompt","kind":"agent-prompt","value":"Add \"piv-slice-epic\" as a Claude Code skill from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic. Inspect the skill instructions, place the reusable skill files in the appropriate local skills location for this project, and report the activation steps. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"claude-code\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this prompt to ask Claude Code to add the skill and explain the local activation steps.","copyLabel":"Copy prompt"},{"id":"cursor","label":"Cursor","title":"Cursor rule prompt","kind":"agent-prompt","value":"Turn \"piv-slice-epic\" from https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic into a reusable Cursor project rule or agent instruction. Preserve the core workflow, adapt paths to this repo, and keep the rule scoped to tasks where it is relevant. Skill purpose: Slice an epic (with its architecture decisions) into PIV-sized tickets with a dependency graph, then create them in your tracker (Jira via the Atlassian MCP, or GitHub/Linear/local). Accepts the epic and its architecture as one doc or as an epic plus a separate linked architecture page. Turns a large strategic doc into the discrete units of work that the PIV loop consumes. After the install attempt, report the result to https://www.openagentskill.com/api/agent/outcome with POST JSON {\"event_id\":\"install_<unique-id>\",\"skill_slug\":\"coleam00-piv-slice-epic\",\"task\":\"Install piv-slice-epic\",\"agent\":\"cursor\",\"outcome\":\"success\",\"install_used\":true}. Replace event_id with a unique value and outcome with success or failed. Report success only after the skill is installed and a minimal verification passes.","description":"Use this when installing as Cursor project rules or reusable agent instructions.","copyLabel":"Copy prompt"}],"repository":"https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic","github_repo":"coleam00/skills","version":"1.0.0","license":"MIT","urls":{"web":"https://www.openagentskill.com/skills/coleam00-piv-slice-epic","repository":"https://github.com/coleam00/skills/tree/main/.claude/skills/piv-slice-epic","api":"/api/agent/skills/coleam00-piv-slice-epic","install_api":"/api/skills/coleam00-piv-slice-epic/install"},"meta":{"created_at":"2026-09-03T09:25:29.853446+00:00","updated_at":"2026-09-03T09:25:29.917379+00:00","agent_friendly":true}}