Agent Md Refactor
micronaut-projects/micronaut-openapi
Refactor oversized agent instruction files into a progressive-disclosure structure.
TRIGGER when user asks to define a workflow graph, create an agent or agentic workflow, orchestrate tasks, or build a multi-step process.
$ npx skills add microbus-io/fabric --skill add-workflow -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install microbus-io/fabric add-workflow --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .claude/skills/add-workflow && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .claude/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflowType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add microbus-io/fabric --skill add-workflow -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install microbus-io/fabric add-workflow --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .agents/skills/add-workflow && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .agents/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microbus-io/fabric --skill add-workflow -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install microbus-io/fabric add-workflow --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .cursor/skills/add-workflow && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .cursor/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/microbus-io/fabric.git --path .claude/skills/microbus/add-workflow--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add microbus-io/fabric --skill add-workflow -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install microbus-io/fabric add-workflow --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .gemini/skills/add-workflow && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .gemini/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install microbus-io/fabric add-workflowInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add microbus-io/fabric --skill add-workflow -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .github/skills/add-workflow && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .github/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add microbus-io/fabric --skill add-workflow -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install microbus-io/fabric add-workflow --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/microbus-io/fabric.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/microbus/add-workflow .opencode/skills/add-workflow && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "add-workflow" agent skill from https://github.com/microbus-io/fabric/tree/main/.claude/skills/microbus/add-workflow into .opencode/skills/add-workflow/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "add-workflow", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
add-workflowTRIGGER when user asks to define a workflow graph, create an agent or agentic workflow, orchestrate tasks, or build a multi-step process.
Add Workflow is an agent skill from microbus-io/fabric. TRIGGER when user asks to define a workflow graph, create an agent or agentic workflow, orchestrate tasks, or build a multi-step process. "Agent", "agentic workflow", and "workflow" are interchangeable here - an LLM is not required for a workflow to be an agent (rule-based, deterministic, and LLM-driven workflows are all agents).
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Agent Workflows, covering Agent instruction files and Microservices. The repository describes itself as: Microbus is the only fabric where every agentic workflow runs on a true microservice substrate - giving your workflows security, scale, observability, and prompt-driven authoring. The licence is Apache-2.0.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit fb98098. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
goFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Add Workflow loads about 3.3k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 1,521 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from microbus-io/fabric at commit fb98098, republished under its Apache-2.0 licence (© microbus-io). 1,521 words, ~3,349 tokens.
.claude/skills/add-workflow/SKILL.md (or your agent's skills folder).CRITICAL: Do NOT explore or analyze other microservices unless explicitly instructed to do so. The instructions in this skill are self-contained to this microservice.
CRITICAL: A workflow is declared as a define.Workflow var in myserviceapi/definition.go and implemented as a graph builder in service.go. Add the declaration and run cmd/genservice.
CRITICAL: Keep the // MARKER: MyWorkflow comment on the define.Workflow var and on its In/Out structs.
IMPORTANT: Read .claude/rules/workflows.txt for workflow and task conventions before proceeding.
Copy this checklist and track your progress:
Creating or modifying a workflow graph:
- [ ] Step 1: Read local CLAUDE.md file
- [ ] Step 2: Determine the signature
- [ ] Step 3: Determine the route
- [ ] Step 4: Determine a description
- [ ] Step 5: Declare the workflow in definition.go
- [ ] Step 6: Generate the boilerplate
- [ ] Step 7: Implement the graph builder in service.go
- [ ] Step 8: Test the workflow
- [ ] Step 9: HousekeepingCLAUDE.md FileRead the local CLAUDE.md file in the microservice's directory. It contains microservice-specific instructions that should take precedence over global instructions.
Ensure the local CLAUDE.md advertises that this microservice implements agentic workflows. The Agent Instructions block holds one short paragraph per instruction so multiple instructions (workflows, SQL, auth) can coexist as separate paragraphs. The paragraph to add is:
This microservice implements agentic workflows. See `.claude/rules/workflows.txt` for the conventions.How to apply:
## Agent Instructions section containing the paragraph above.## Agent Instructions section, append the paragraph (separated by a blank line) after the existing instructions; skip if a workflows-related paragraph is already present.## Agent Instructions section, insert one as the first section after the H1 hostname heading and add the paragraph.Determine the input and output fields of the workflow. Inputs are the state fields the workflow expects from its caller. Outputs are the state fields the workflow produces as its result. The signature is documentation only - it describes the workflow's expected state contract but does not generate typed code. The actual state is map[string]any.
MyWorkflow(inputField1 string, inputField2 float64) (outputField1 bool, outputField2 int)Constraints:
status is reservedThe route of the workflow graph endpoint is resolved relative to the hostname of the microservice. Workflows use the dedicated port :428 to prevent external access. Use the name of the workflow in kebab-case as its route, e.g. :428/my-workflow. The method is GET.
Describe the workflow starting with its name, in Go doc style: MyWorkflow does X. This becomes the godoc comment on the define.Workflow var.
Describe what the workflow does and the outcome it produces, not who is expected to run it. "Underwrites a credit application: gathers identity, employment and credit history, then approves or declines" is good; "called by the customer portal" or "used by the LLM as a tool" is not.
definition.goAppend the define.Workflow var and its In/Out structs to myserviceapi/definition.go. Workflows always use the GET method.
/*
MyWorkflow does X.
*/
var MyWorkflow = define.Workflow{ // MARKER: MyWorkflow
Host: Hostname, Method: "GET", Route: ":428/my-workflow",
In: MyWorkflowIn{}, Out: MyWorkflowOut{},
}
// MyWorkflowIn are the input arguments of MyWorkflow.
type MyWorkflowIn struct { // MARKER: MyWorkflow
InputField1 string `json:"inputField1,omitzero"`
InputField2 float64 `json:"inputField2,omitzero"`
}
// MyWorkflowOut are the output arguments of MyWorkflow.
type MyWorkflowOut struct { // MARKER: MyWorkflow
OutputField1 bool `json:"outputField1,omitzero"`
OutputField2 int `json:"outputField2,omitzero"`
}Host is always Hostname. Method is always GET. Route comes from Step 3counter it increments), give the Out struct field the Out suffix and strip that suffix from the JSON tag so it maps to the same state key as the input (e.g. CounterOut int with json:"counter,omitzero"), exactly as a task does in add-task. Without the suffix the input and output share a name and the generated Executor/Subgraph signature collides (counter redeclared in this block) in a file you must not hand-edittime.Time field needs "time"), add that import to definition.goRequiredClaims: "..." only when the workflow must be gated; omit when openFrom the microservice's directory, run the generator. It regenerates myserviceapi/client.go (the Executor and Subgraph methods), intermediate.go (the marshaler that validates the graph, the ToDo entry, and the subscription), mock.go, mock_test.go, and manifest.yaml from the updated definition.go. It also scaffolds a placeholder handler in service.go and a placeholder test in service_test.go for any new feature that lacks one, each ready for you to fill in.
go run github.com/microbus-io/fabric/cmd/genservice .Then, from the project root, bring the module's dependencies up to date and verify the microservice compiles:
go mod tidy
go vet ./...Run go mod tidy first: the workflow test imports the foreman, which pulls transitive dependencies (the dwarf engine, sequel, throttle) that may not yet be in go.sum, which makes go vet fail with missing go.sum entry until the module is tidied.
service.goThe previous step generated a placeholder graph builder func (svc *Service) MyWorkflow(ctx context.Context) (graph *workflow.Graph, err error) in service.go, tagged // MARKER: MyWorkflow, with a graph = workflow.NewGraph("MyWorkflow") starter that returns an empty graph (which fails validation until you define it). Build out the graph with the workflow.NewGraph builder API, referencing task endpoints from this or other microservices by their URL() method. Leave the generated godoc as it is.
Each node in the graph carries both a short name (used in transitions) and a URL (used to dispatch the task at runtime). Register nodes with graph.SetEndpoint("Name", taskURL), then write transitions in terms of names. Use PascalCase node names matching the task endpoint (e.g. "TaskA" for TaskA) - they are graph-topology identifiers, kept visually distinct from the lowercased dispatch URLs and the camelCase state field names. The graph display name passed to NewGraph is PascalCase too (conventionally the workflow's own name). Child workflows are not graph nodes; they are launched dynamically from a task body via flow.Subgraph(childWorkflow.URL(), input) - see the "Subgraphs and Interrupts" section in .claude/rules/workflows.txt.
// MyWorkflow does X.
func (svc *Service) MyWorkflow(ctx context.Context) (graph *workflow.Graph, err error) { // MARKER: MyWorkflow
graph = workflow.NewGraph("MyWorkflow")
graph.SetEndpoint("TaskA", myserviceapi.TaskA.URL())
graph.SetEndpoint("TaskB", myserviceapi.TaskB.URL())
graph.SetEndpoint("TaskC", myserviceapi.TaskC.URL())
// graph.AddTransition("TaskA", "TaskB")
// graph.AddTransitionSwitch("TaskB", "TaskC", "score >= 50") // first-match-wins routing; end with a "true" arm for the default
// graph.AddTransitionSwitch("TaskB", workflow.END, "true")
// graph.AddTransitionGoto("TaskB", "TaskC")
return graph, nil
}If a subgraph call needs its input or output adapted across a contract boundary, do it in any ordinary task immediately upstream or downstream of the subgraph using flow.Del/flow.Clear - see the "State Transformation Around a Subgraph" section in .claude/rules/workflows.txt. If the workflow's terminal state needs scrubbing before it lands in final_state, the last task calls flow.Del.
Naming the same task URL twice with different names is the supported way to reuse a task at multiple positions in the graph (each position keeps its own node identity for fan-in tracking).
Every fan-out requires a matching fan-in. Any node with two or more normal outgoing transitions, or an AddTransitionForEach transition, is a fan-out: its branches run in parallel. Every fan-out must converge on a single node that you mark with graph.SetFanIn("name"). Add the SetFanIn call in the same edit as the fan-out transitions, and route every parallel branch into the marked node before the graph reaches workflow.END. A graph that fans out without a SetFanIn node still compiles and passes go vet, but graph.Validate() (run by the generated marshaler) rejects it at run time, so the test in Step 8 fails. This is the single most common workflow-graph mistake. The fan-out/fan-in section in .claude/rules/workflows.txt has the full rule and a worked example.
Reducers for fan-in fields. When parallel branches converge, each field that needs anything other than last-write-wins must be explicitly wired with graph.SetReducer(field, reducer) at graph-build time. Fields without a registered reducer use Replace (last write wins). No name-driven inference - a field named messages and a field named total are treated identically until SetReducer says otherwise.
graph.SetReducer("messages", workflow.ReducerAppend) // accumulate per-branch deltas
graph.SetReducer("total", workflow.ReducerAdd) // sum numeric contributions
graph.SetReducer("seen", workflow.ReducerUnion) // dedupe across branches
graph.SetReducer("attrs", workflow.ReducerMerge) // merge per-branch objects
graph.SetReducer("approved", workflow.ReducerAnd) // all branches must approve
graph.SetReducer("flagged", workflow.ReducerOr) // any branch flags
graph.SetReducer("notes", workflow.ReducerConcat) // join string deltasPick the reducer by what the merge means, not by what the field is named. The default Replace is correct when only one branch ever writes the field.
Prefer AddTransitionSwitch > AddTransitionWhen > AddTransitionGoto for branching. AddTransitionSwitch is the default for any routing where exactly one branch should run: siblings are first-match-wins in declaration order (use when="true" as the last arm for a default), the validator enforces mutual exclusivity, and no SetFanIn is needed because only one branch ever fires. Drop to AddTransitionWhen only when the source genuinely fans out under multiple independent predicates that may all match - that's parallel work, not routing, and it needs a matching SetFanIn. Two When predicates meant to be mutually exclusive (x>0 and x<=0) should be a Switch so the validator enforces it. Reserve AddTransitionGoto for runtime control-flow the task body decides via flow.Goto, the canonical case being a fan-in node looping back ("ask for more info, retry the review"). The "Switch Transitions" and "When to choose Switch vs. When vs. Goto" sections in .claude/rules/workflows.txt carry the full rules.
To embed this workflow as a subgraph from inside another task body, use the generated Subgraph client (otherapi.NewSubgraph(flow).MyWorkflow(ctx, ...)), never the Executor - the Executor is test-only.
Skip this step if instructed to be "quick" or to skip tests.
The boilerplate generator created a placeholder test function TestMyService_MyWorkflow in service_test.go, tagged with a // MARKER: MyWorkflow comment and a HINT block. Add one or more test cases at the bottom of that function, following the pattern shown in its HINT comment. Do not remove the HINT comment.
If the feature or microservice cannot or should not be tested - for example, it starts a daemon or requires a
resource unavailable in the test environment - do not delete the generated test. The generator keys on the test
function's name and would scaffold it again on the next regeneration. Instead, replace the entire body of the
test with a t.Skip("reason") explaining why.
Follow the housekeeping skill.
© microbus-io, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/microbus/add-workflow of microbus-io/fabric.
Open the folder on GitHubat commit fb98098
Add Workflow next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Add Workflow this skillmicrobus-io/fabric | 172 | — | ~3.3k | Automated safety check: Pass | Apache-2.0 | |
| Agent Md Refactormicronaut-projects/micronaut-openapi | 114 | — | ~766 | Automated safety check: Pass | Apache-2.0 | |
| Documentationsamchon/typia | 5.9k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Openlark Code Standardsfoxzool/openlark | 106 | — | ~1.8k | Automated safety check: Notes | Apache-2.0 | |
| Harness Step3 Session Managementsimbajigege/book2skills | 184 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| Using Agent Skillsaddyosmani/agent-skills | 102k | 4 repos | ~2.4k | Automated safety check: Pass | MIT |
micronaut-projects/micronaut-openapi
Refactor oversized agent instruction files into a progressive-disclosure structure.
samchon/typia
Defines README, website-guide, and agent-instruction structure, audience, prose formatting, and voice for typia.
foxzool/openlark
OpenLark 项目代码规范检查技能。用于快速审查仓库内的架构一致性、API 实现套路、参数校验、命名与导出规范,并输出可执行检查清单与证据路径。Triggers: code review / consistency check / architecture audit / 规范检查 / 风格一致性 / 体检 / 对齐约定。项目锚点见 AGENTS.mdCONVENTIONS 与…
simbajigege/book2skills
Harness Engineering 第二阶段:建立跨 session 状态管理,解决 agent 每次对话失忆的问题。
addyosmani/agent-skills
Meta-skill for choosing which workflow skill fits the task at hand, plus always-on habits: surface assumptions, stop on confusion, push back, keep it simple and stay in scope.
BayramAnnakov/claude-reflect
Self-learning system that captures corrections during sessions and reminds users to run /reflect to update CLAUDE.md.
microbus-io/fabric
TRIGGER when user asks to add or modify a configuration property or setting, or to make a value configurable.
microbus-io/fabric
TRIGGER when user asks to add, create, or modify an API endpoint, function, or RPC, or a route that accepts typed arguments and returns typed results.
microbus-io/fabric
TRIGGER when user asks to listen for, subscribe to, or handle an event emitted by another microservice.
microbus-io/fabric
TRIGGER when user asks to add or modify a metric, counter, gauge, or histogram, or to track/measure an operation.
microbus-io/fabric
TRIGGER when user asks to fire, emit, or publish an event that other microservices can subscribe to.
microbus-io/fabric
TRIGGER when user asks to add a Python-backed function endpoint to an existing Python-backed microservice.
Categories
TRIGGER when user asks to define a workflow graph, create an agent or agentic workflow, orchestrate tasks, or build a multi-step process. Add Workflow is an agent skill from microbus-io/fabric. TRIGGER when user asks to define a workflow graph, create an agent or agentic workflow, orchestrate tasks, or build a multi-step process.
Add Workflow fits situations like: user asks to define a workflow graph; create an agent; agentic workflow; orchestrate tasks.
Run `npx skills add microbus-io/fabric --skill add-workflow -a claude-code`. Or copy the skill folder (.claude/skills/microbus/add-workflow in microbus-io/fabric) into .claude/skills/add-workflow in your project. Claude Code loads it when a task matches its description.
Run `npx skills add microbus-io/fabric --skill add-workflow -a codex`. Or copy the skill folder (.claude/skills/microbus/add-workflow in microbus-io/fabric) into .agents/skills/add-workflow in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add microbus-io/fabric --skill add-workflow -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/add-workflow, .gemini/skills/add-workflow, .github/skills/add-workflow and .opencode/skills/add-workflow in your project.
Going by SKILL.md and its folder, Add Workflow needs the command-line tools its instructions call (go).
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Add Workflow is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.3k tokens (SKILL.md is roughly 13k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Add Workflow: Agent Md Refactor (micronaut-projects/micronaut-openapi, 114 stars), Documentation (samchon/typia, 5.9k stars), Openlark Code Standards (foxzool/openlark, 106 stars) and Harness Step3 Session Management (simbajigege/book2skills, 184 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
microbus-io (a GitHub organization) maintains it in microbus-io/fabric, which has 172 GitHub stars. The repository holds 33 skills in this directory. The repository was last updated on September 28, 2026.
Source: microbus-io/fabric on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.