agentic-workflow-guide

REVIEW · 63
Registry indexed

Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning,

Verified installs0
Stars25
Version1.0.0
Quality61/100 · Promising
Trust63/100 · Sandbox only
Audit76/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + CLI + Codex

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Maintenance

fresh

Pushed today

Risk

Needs review

Financial research output is not financial advice; require human review before any live investment decision

GitHub quality

25

61/100 Quality · 71/100 Trust

Coverage tags

CodingGitHub automationdesign-creativeagent-skill

Review notes

Financial research output is not financial advice; require human review before any live investment decision · The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Promising
61

Useful candidate, but compare it with alternatives before adopting.

Trust

Sandbox only
63

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
76

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

25 GitHub stars

Repo activity

25 stars, 4 forks

Maintenance

Pushed today

License

CC BY-NC-SA 4.0

Install

npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Install safety

standard package or runtime install path

Permission surface

filesystem or document access, network or browser access

Agent outcomes

No agent outcome data yet

Docs

Strong README/SKILL.md context

Risk summary

Review before production

  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • License restricts commercial reuse
  • Low GitHub adoption signal

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License has commercial-use restrictions
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Navigate local resources

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLICLI

Install decision

Command
npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide
Policy
review
Human review
yes

Trust and risk

Trust
63/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • Low GitHub adoption signal
  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • No OpenAgentSkill engagement data yet

Agent safety v2

60/100 · Review before install

Reviewed with permission notesreview

Usable candidate, but the agent should surface permission and audit notes before installation.

Require human approval before installing into a real workspace.

Resolve via API

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

medium

Filesystem access

Skill may read or write project files, documents, generated artifacts, or local workspace state.

  • Financial research output is not financial advice; require human review before any live investment decision

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install aktsmm-agentic-workflow-guide

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use agentic-workflow-guide in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20agentic-workflow-guide%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/aktsmm-agentic-workflow-guide/install
Install command: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use agentic-workflow-guide for this task. Review https://www.openagentskill.com/api/skills/aktsmm-agentic-workflow-guide/install, then install with: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

60/100

Local desktop

Platforms

Claude Code

Audit report

Needs review · 76/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Fallback candidate for Local desktop

Prototype with this skill first; keep a fallback candidate ready.

60
Readiness
Prototype
Stage

Role in stack

Fallback candidate

Primary fit

Local desktop

Trust label

Prototype first

Install path

Command ready

Use when

  • Local desktop workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 61/100 quality profile

review first

  • Low GitHub adoption signal
  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • No OpenAgentSkill engagement data yet

Implementation path

  1. 1Install it in a sandbox agent and run one Local desktop task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

63
OpenAgentSkill Trust Score

GitHub adoption

CHECK

25 GitHub stars

Stars/forks activity

CHECK

25 stars, 4 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

Pushed today

License clarity

CHECK

CC BY-NC-SA 4.0 - confirm commercial-use terms

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.
  • Financial research output is not financial advice; require human review before any live investment decision.
  • License restricts commercial reuse
  • Low GitHub adoption signal
  • Quality score needs review
  • GitHub adoption: 25 GitHub stars
  • Stars/forks activity: 25 stars, 4 forks; issue activity unavailable in current metadata
  • License clarity: CC BY-NC-SA 4.0 - confirm commercial-use terms
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Promising candidate for agent workflows

Useful candidate, but compare it with alternatives before adopting.

61
GitHub stars
25
Freshness
Today
Install ready
Yes
License
CC BY-NC-SA 4.0
Review before install: Low GitHub adoption signal · The LICENSE.txt includes an additional AI/ML training restriction beyond the standard CC BY-NC-SA 4.0 terms. This is not a blocker but should be noted for clarity.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- name: agentic-workflow-guide description: "Design, review, and debug agent workflows, and decide when a request should use a prompt, instruction, skill, agent, or hook before escalating to multi-agent design. Use for .agent.md / .instructions.md / .prompt.md / AGENTS.md work, workflow architecture, orchestration planning, or when agent workflows may be overkill. Triggers on 'agent workflow', 'create agent', 'ワークフロー設計', 'orchestrator'." argument-hint: "作りたい .agent.md / .instructions.md / .prompt.md / AGENTS.md、設計したい workflow、または困っている症状" user-invocable: true license: CC BY-NC-SA 4.0 metadata: author: yamapan (https://github.com/aktsmm) ---

# Agentic Workflow Guide

Design, review, and improve agent workflows based on proven principles.

この SKILL の基本姿勢は、**agent を増やすことではなく、必要最小の primitive で解くこと**。 context が膨らんだときも、まずは split / compact / reference 化を考え、いきなり multi-agent にしない。

## Primitive First

Do not start with multi-agent by default.

- Single focused slash task -> **Prompt** - Always-on or file-scoped guidance -> **Instruction** - Reusable workflow with bundled assets -> **Skill** - Persona, tool restrictions, delegation, or handoffs -> **Agent** - Deterministic enforcement -> **Hook**

If the ask does not require an **Agent**, stop and use the simpler primitive.

> この primitive 選択表が SSOT。skill-creator-plus / skill-finder などの判定表は「そのスキルを使うべきか」の即時ゲートとして扱い、基準がずれたらここに合わせる。

Selection details: [references/customization-decision.md](references/customization-decision.md)

## When to Use

| Action | Triggers | | ---------- | ----------------------------------------------------------------------------- | | **Create** | New `.agent.md`, `.instructions.md`, `.prompt.md`, `AGENTS.md`, or workflow architecture | | **Review** | Orchestrator not delegating, design principle check, context overflow | | **Update** | Adding Handoffs, improving delegation, tool configuration | | **Debug** | Agent not found, subagent not working, picker visibility, access control | | **Decide** | Determining whether multi-agent is justified or a simpler primitive is enough |

## Core Principles

- **Simplicity First**: より単純な primitive で解けるなら agent 化しない - **SSOT / SRP**: 情報源と責務の分割を守る - **Fail Fast**: エラーは早く止める - **Feedback Loop**: 各段で検証できるようにする - **Context Discipline**: context が膨らんだら compact / split / retrieve を検討する

Principle details: [references/design-principles.md](references/design-principles.md)

## Pattern Selection

- **Prompt Chaining**: 順序のある段階処理 - **Routing**: 入力タイプで分岐する処理 - **Parallelization**: 独立タスクを並列で進める処理 - **Orchestrator-Workers**: 動的に subtasks を分解する処理 - **Evaluator-Optimizer**: 品質基準を満たすまで反復する処理

Every loop needs explicit stop conditions.

Pattern details: [references/workflow-patterns/overview.md](references/workflow-patterns/overview.md)

## Design Workflow

1. **Extract from conversation** Repeated behavior, tool preferences, workflow shape, and obvious specialization を先に拾う。 2. **Choose primitive + scope** Prompt / instruction / skill / agent / hook と workspace / profile を決める。 3. **Clarify only the gaps** 挙動を変える曖昧さだけ聞く。 4. **Check escalation** agent や multi-agent が本当に必要か確認する。 5. **Choose pattern** complexity が上がるなら pattern を明示して設計する。 6. **Review before expanding** split / compact / reference 化で済まないかを見る。 7. **Implement and iterate** 最初から完成形を狙わず、弱い箇所を見つけて詰める。

## Rule Placement

- 汎用的な workflow 設計原則は、この SKILL と `references/` を SSOT にする。 - repo local の `.instructions.md` には workspace 固有の差分だけを残す。差分が無い generic instruction は merge back して削除候補にする。 - IR は原則 in-memory で扱う。validator、script、deterministic handoff が必要な場合だけ中間 file を materialize し、不要になったら片付ける。 - scheduler / service / config など決定論的な state mutation は、AI/UI loop ではなく direct script / API で現状確認 -> 最小変更 -> live read-back まで行う。LLM は scope と整合対象の判断に限定する。

## Escalation Rules

- **L0**: Single Prompt - **L1**: Prompt + Instructions - **L2**: Single Agent - **L3**: Multi-Agent

Prefer the lowest level that solves the problem cleanly.

Quick signals:

- Prompt > 50 lines - Steps > 5 - "missed" / "overlooked" errorsが続く - Multiple responsibilities in one agent - Context > 70%

Threshold details: [references/splitting-criteria.md](references/splitting-criteria.md)

## Entry Boundary Smells

### Instruction Elevation Smell

always-loaded entry において、強い命令語が直下の catalog、reference list、workflow map、rule inventory を会話の優先レイヤーへ昇格させる状態。

### Always-Loaded Entry Budget

always-loaded entry は会話境界と最小 guardrail のみを持つ。catalog、詳細手順、広い参照一覧は docs、README、task-specific assets へ退避する。

### Runtime Boundary Rule

Review assets improve design quality and detect structural problems. Default conversational behavior is controlled by always-loaded entries.

### Casual Input Safety Check

Lightweight inputs such as greetings, short Q&A, and numeric-only replies should not be force-routed into task intake unless the task context is explicit.

## Review Gates

- [ ] Primitive choice is simpler than agent if possible - [ ] Placement is appropriate and always-loaded entry files stay thin - [ ] New additions are proposed only after delete / merge / split / move options are checked - [ ] Single responsibility per agent is preserved - [ ] Errors can be detected and stopped early - [ ] Results are verifiable at each step - [ ] Deterministic parts are offloaded to scripts / IR / hooks, and state changes are confirmed by reading authoritative live state back (not LLM/UI loops)

Full checklist: [references/review-checklist.md](references/review-checklist.md)

## Reference Map

Core references: [primitive decision](references/customization-decision.md), [design principles](references/design-principles.md), [workflow patterns](references/workflow-patterns/overview.md), [splitting criteria](references/splitting-criteria.md), [review checklist](references/review-checklist.md), and [context management](references/context-engineering.md).

For scheduled workflows, use [scheduled runtime bindings](references/scheduled-runtime-bindings.md). For delegated evidence and append-only current-state extraction, see [orchestrator-workers](references/workflow-patterns/4-orchestrator-workers.md) and [IR architecture](references/workflow-patterns/ir-architecture.md).

## agent Quick Fix

When an orchestrator promises delegation but works directly, make the delegation requirement explicit and verifiable. See [agent-guide.md](references/agent-guide.md).

## Tools Reference

Use [references/agent-template.md](references/agent-template.md) for tool mapping and stable agent scaffold details.

## Done Criteria

- [ ] Primitive and scope selected intentionally - [ ] Workflow pattern selected and confirmed with user - [ ] New or updated assets have clear Role/Workflow/Done Criteria where applicable - [ ] Design principles checklist passed - [ ] Recommendations are classified as delete / merge / split / move / add / keep where applicable - [ ] Always-on instruction boundaries and DRY / SSOT risks are explicitly reviewed when `copilot-instructions.md` or `AGENTS.md` are in scope - [ ] New agent / workflow assets are registered in the appropriate catalog or docs when needed - [ ] `AGENTS.md` is updated only when shared guardrails or entry behavior need to change - [ ] Long-running or ad-hoc terminals/tasks started during the workflow are closed, or remaining terminals are explicitly reported with a reason - [ ] Async operations are verified by live state before being called complete; if blocked by retention/locks/background platform work, the blocker and next check condition are explicit

Technical details

Version
1.0.0
License
CC BY-NC-SA 4.0
Last updated
Aug 24, 2026
Published
Aug 24, 2026

Decision snapshot

Fallback candidate

60
Ready
Prototype
Stage

recent repository activity

Audit

Install review

Install and adoption review

76
Needs review
Security
78/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for agentic-workflow-guide, ready for a manual X post.

Curator note
agentic-workflow-guide: Design, review, and debug agent workflows, and decide when a request should use a prompt, ins...

25 stars

https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide?ref=x
Open X draft
Optional reply with install command
Listing + install path for agentic-workflow-guide:
https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide?ref=x

Install: npx skills add aktsmm/Agent-Skills --skill agentic-workflow-guide

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
aktsmm
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to aktsmm but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=listed&label=Listed)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=trust&label=Trust)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=audit&label=Audit)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/aktsmm-agentic-workflow-guide?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/aktsmm-agentic-workflow-guide)

Author

A

aktsmm

@aktsmm

Platform fit

Health signals

GitHub stars
25
Quality score
33/100
Last GitHub push
Aug 23, 2026
Framework hints
Unknown
OpenAgentSkill views
0
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Sandbox only

63
  • GitHub adoption25 GitHub starsCHECK
  • Stars/forks activity25 stars, 4 forks; issue activity unavailable in current metadataCHECK
  • Recent maintenancePushed todayPASS
  • License clarityCC BY-NC-SA 4.0 - confirm commercial-use termsCHECK
  • README/SKILL.md completenessMetadata includes enough usage and workflow contextPASS
  • Dependency/runtime risknetwork or browser surfacePASS