Priorify Agent Work Agent Skill

Coordinate delegated agent work through Priorify.

Context cost
700 tokensestimated from the bundle, loaded when it triggers
Bundle
2 files · 2.8 kBtext throughout, nothing executable
Licence
MITthe author’s own terms
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Coordinate delegated agent work through Priorify. Use when an agent needs to inspect its inbox, claim or renew work, report safe progress, request human intervention, release a claim, or record a terminal result.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

agentproductivity

The skill itself

A skill is instructions the model reads, and here they are in full: the front matter loads with every session, and the body below it loads when the skill triggers. The other files in the bundle are listed further down.

SKILL.md2.3 kB
--- name: priorify-agent-work ---
6# Priorify Agent Work
7
8Use Priorify as the durable coordination boundary, not as the runtime that performs the work. Begin with get_agent_work_inbox and follow the claim protocol returned for the selected item. Routine-backed and generic work can use different claim tools.
9
10If dependencies block a queued item, read get_work_dependency_graph and leave it unclaimed until every prerequisite succeeds. configure_work_dependencies only records that sequence. list_agents reports identity readiness. recommend_work_assignment explains eligibility from grants, scope, labels, preference, and capacity. Neither tool assigns, claims, or executes the work. Read a human's intervention answer with get_intervention_response. Answering the intervention, and changing agent capacity or routing, stays with a person in Priorify.
11
12After claiming work:
13
141. Treat the claim token as a secret. It appears only in a successful claim or renewal response. Keep it out of messages, logs, artifacts, and progress metadata.
152. Perform the work in the current agent runtime. Report concise operational receipts and meaningful phase changes, not hidden reasoning.
163. Renew the claim before its lease expires. Stop reporting or completing after expiry because another client may own the work.
174. Request a durable intervention when clarification, permission, approval, budget, or a handoff is required. Do not describe waiting as active execution.
185. Complete the item once with bounded results and artifact references, retrying an ambiguous response only with the same idempotency key. Release the claim for reassignment instead of inventing a terminal result.
19
20A work claim does not authorize product mutations. Each business action still requires its own Priorify capability grant, user intent, and any applicable preview or approval. Never infer wider permission from assignment, agent identity, routing labels, or access to a tool.
21
22If an authenticated call returns connection_inactive, direct the user to **Settings → Agent connections** in Priorify rather than repeating OAuth.
23
This is the whole of SKILL.md. Install the skill to get it and everything beside it.
In the file
SKILL.md331 words
Files2
LicenceMIT
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈60
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
640
on trigger
The instruction body and 1 supporting file, read only when the skill fires.
0.35%
of a 200k window
Ten skills this size would take about 4% of the window before you open a file.
050k100k150k200k context window

700 tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Small enough to keep loaded permanently without thinking about it.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md, shown in full above.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

2 files, 2.8 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md2.3 kB
  • agents/openai.yaml0.5 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 2 files you can review in full before installing. The MIT licence covers the templates and examples as well as the instructions.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Priorify Agent Work · 700 tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/priorify-agent-work/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/priorify-agent-work" ] && { [ ! -e .claude/skills/priorify-agent-work ] || { mv .claude/skills/priorify-agent-work "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/priorify-agent-work" .claude/skills/ && echo "Installed .claude/skills/priorify-agent-work"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add toba-solutions/priorify-agent-work

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/priorify-agent-work/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/priorify-agent-work/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/priorify-agent-work" ] && { [ ! -e ~/.claude/skills/priorify-agent-work ] || { mv ~/.claude/skills/priorify-agent-work "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/priorify-agent-work" ~/.claude/skills/ && echo "Installed ~/.claude/skills/priorify-agent-work" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/priorify-agent-work/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencetoba-solutions/priorify-agent-work

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

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