Best for
- Use when you want to understand your own process, formalize it, or share it with collaborators.
magnus919/agent-skills/workflow-architect/SKILL.md
Discover your actual workflow through conversation or observation, then generate a tailored skills bundle that encodes it as loadable agent skills with trigger conditions. Use when you want to understand your own process, formalize it, or share it with collaborators. Also use when a session feels aimless — this skill gives it structure.
Decision brief
A meta-skill that helps you (and your agent) understand how you actually work. It discovers your workflow patterns through either active interrogation or passive observation, then generates a skills bundle — a set of loadable skills, each with trigger conditions, that encode you…
Compatibility matrix
| Platform | Status | Evidence | What to check |
|---|---|---|---|
| Codex | Not declared | No explicit evidence | Portability before use |
| Claude Code | Not declared | No explicit evidence | Portability before use |
| Cursor | Not declared | No explicit evidence | Portability before use |
| Gemini CLI | Not declared | No explicit evidence | Portability before use |
Installation
The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.
npx skills add https://github.com/magnus919/agent-skills --skill "workflow-architect"Inspect the Agent Skill "workflow-architect" from https://github.com/magnus919/agent-skills/blob/531ff6753784823c878c92b988c6e55266ce09a9/workflow-architect/SKILL.md at commit 531ff6753784823c878c92b988c6e55266ce09a9. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.
Workflow
After running workflow-architect, you'll have a new bundle in your agent's skill directory containing:
Workflow-architect adapts to how you want to engage with it.
When to use: You have a few minutes to talk through your process. This is the most thorough mode — the agent asks guided questions, branches based on your answers, and builds a model of your workflow turn by turn.
When to use: You're already in a session doing real work and don't want to stop and reflect. Let this mode watch what you actually do, then infer the workflow pattern from your actions.
1. Read this umbrella SKILL.md for context 2. If active: load skills/interviewer/SKILL.md 3. If passive: load skills/observer/SKILL.md 4. After convergence: load skills/bundle-builder/SKILL.md to synthesize and write the output bundle. The bundle is written to /.hermes/skills///…
Permission review
The documentation asks the agent to read local files, directories, or repositories.
**Agent capabilities** — the host agent needs skill management tools (`skill_view`, `skill_manage`, `skills_list`), a memory tool for `workflow-architect:state:` keys, session context access for observation mode, and file writing for bundleEvidence record
| Signal | Value | Evidence type | Meaning |
|---|---|---|---|
| Quality score | 91/100 | Computed | Documentation, specificity, maintenance, and trust rules |
| Repository stars | 61 | Source | Repository attention, not individual Skill quality |
| Compatibility | 0 platforms | Source | Declared in the catalog source record |
| Usage guide | automated source guide | Editorial | Generated or reviewed according to the visible evidence level |
Pinned source
A meta-skill that helps you (and your agent) understand how you actually work. It discovers your workflow patterns through either active interrogation or passive observation, then generates a skills bundle — a set of loadable skills, each with trigger conditions, that encode your workflow so your agent can meet you where you are in every session.
After running workflow-architect, you'll have a new bundle in your agent's skill directory containing:
skill_view(name='<bundle-name>')
or let the agent discover it automatically when you say something matching its triggers.description
that tells the agent when to load it (e.g., "load this when the user starts
their morning triage routine" or "use this when the user shifts into deep work
mode")The umbrella and sub-skills are registered via skill_manage(action='create')
so they appear in skills_list() and are immediately loadable in future sessions.
Workflow-architect adapts to how you want to engage with it.
When to use: You have a few minutes to talk through your process. This is the most thorough mode — the agent asks guided questions, branches based on your answers, and builds a model of your workflow turn by turn.
How to invoke:
/workflow-architect
The agent will guide you through a conversation of about 8-15 questions. Answer naturally — the skill adapts its probes based on what you say.
When to use: You're already in a session doing real work and don't want to stop and reflect. Let this mode watch what you actually do, then infer the workflow pattern from your actions.
How to invoke:
/workflow-architect passive
The agent loads the observer skill silently. It does nothing until you say one of the trigger phrases below, at which point it scans the current session's message history and reconstructs your workflow from what happened.
Trigger phrases (say any of these to activate observation analysis):
Limitation: Observation mode works best after a session with at least 20+ turns of substantive work. If the session context is too thin, the observer will suggest switching to active interrogation mode instead.
skills/interviewer/SKILL.mdskills/observer/SKILL.mdskills/bundle-builder/SKILL.md to synthesize
and write the output bundle. The bundle is written to
~/.hermes/skills/<category>/<bundle-name>/ — verify the umbrella loads
with skill_view(name='<bundle-name>') and at least one sub-skill loads
with skill_view(name='<bundle-name>-<phase-name>'). Tell the user where
it landed, what skills it contains, and a trigger phrase they can use to
enter the workflow.The interviewer (and observer, through inference) builds a structured model with these dimensions:
| Dimension | What it captures |
|---|---|
| Entry points | How your sessions typically start |
| Phases | The distinct modes or stages in your workflow |
| Branching signals | What makes you go left vs right at each fork |
| Tool preferences | What you reach for in each phase |
| Loop conditions | What keeps you in a mode vs what kicks you out |
| Exit criteria | How you know a session is done |
| Pain points | What feels frictionful or inefficient |
No environment variables required. State is stored via memory tool
with the prefix workflow-architect:state: so it persists across turns
during multi-turn interviews.
Do not use this skill for one-off task help or when there is no repeatable multi-phase workflow worth capturing — a standalone skill is a better fit. If you already have a well-defined process and only need it packaged, generate the bundle directly rather than re-running an interview.
This skill ships no scripts; it is a resource-based protocol carried by the files bundled with this SKILL.md:
skills/interviewer/SKILL.md (active interrogation), skills/observer/SKILL.md (passive observation), and skills/bundle-builder/SKILL.md (bundle synthesis and registration). Load them per the Loading Protocol above.references/workflow-archetypes.md (convergence-detection pattern library), references/trigger-condition-patterns.md (trigger-condition format spec), references/kanban-decision-criteria.md (when to include a kanban board), and references/example-output/ (worked example bundles: developer-triage, developer-pipeline-kanban).templates/skill-skeleton.md, templates/manifest.yaml.tmpl, templates/decision-map.md.tmpl, templates/kanban-board-setup.sh.tmpl, and templates/kanban-task-blueprints.yaml.tmpl for the generated bundle's files.skill_view, skill_manage, skills_list), a memory tool for workflow-architect:state: keys, session context access for observation mode, and file writing for bundle output.~/.hermes/skills/<category>/<bundle-name>/; that location must be creatable and registrable.compatibility: bundles are standard Agent Skills, but registration via skill_manage(action='create') and the ~/.hermes/skills path assume that environment. On other runtimes, copy the bundle manually into the client's skill directory.Frequently asked questions
A meta-skill that helps you (and your agent) understand how you actually work. It discovers your workflow patterns through either active interrogation or passive observation, then generates a skills bundle — a set of loadable skills, each with trigger conditions, that encode you…
The source record exposes this install command: npx skills add https://github.com/magnus919/agent-skills --skill "workflow-architect". Inspect the command and pinned source before running it.
Static rules flagged read-files in the source; the page lists the matching lines and excerpts.
Alternatives
garrytan/gbrain
End-to-end discipline for turning any large data source (audio libraries, email takeouts, document corpora, chat exports, API dumps) into brain pages at scale. The lifecycle spine: SCHEMA → ACCESS → TRIAL → EVALUATE → IMPROVE → CODIFY → TEST → SKILLIFY → BULK → MONITOR. State is tracked in a durable JSON manifest (see MANIFEST-PATTERN.md) so any crash, session boundary, or subagent fan-out resumes from ground truth instead of memory.
alirezarezvani/claude-skills
App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checklist
wanshuiyin/Auto-claude-code-research-in-sleep
Use it for operations and research tasks; the detail page covers purpose, installation, and practical steps.
prowler-cloud/prowler
PostgreSQL indexing best practices for Prowler: index design, partial indexes, partitioned table indexing, EXPLAIN ANALYZE validation, concurrent operations, monitoring, and maintenance. Trigger: When creating or modifying PostgreSQL indexes, analyzing query performance with EXPLAIN, debugging slow queries, reviewing index usage statistics, reindexing, dropping indexes, or working with partitioned table indexes. Also trigger when discussing index strategies, partial indexes, or index maintenance