task-orchestrator: Skill for Claude Code

.claude/skills/implement/SKILL.md

implement is a skill for Claude Code from jpicklyk/task-orchestrator. It costs 101 tokens per session (18,156 once invoked), scanned A, original, MIT.

An end-to-end workflow for taking a queued development work item through planning, coding, review, and a pull request—the proposed code change submitted for merging.

In plain words
What is it for?
Use it when implementing one or more work items, including assessing scope, creating branches, planning from the item schema, running implementation and review, and creating a pull request.
Why use it?
It organizes the steps and checks needed to turn a backlog item into reviewed code, reducing the chance that planning, testing, or review is skipped.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: reads .claude/ paths; mentions subagents; mentions Claude Code.

This is jpicklyk/task-orchestrator's own configuration. It tells Claude Code how to work on task-orchestrator itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything task-orchestrator configures →

Reuse

Borrowing it

Nothing to install: this file belongs to jpicklyk/task-orchestrator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/jpicklyk/task-orchestrator/main/.claude/skills/implement/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/jpicklyk/task-orchestrator

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for implement

README.md
[![agentmods](https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/implement/github.svg)](https://agentmods.dev/skills/jpicklyk/task-orchestrator/implement)
Your own site
<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/implement"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/implement/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for implement

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/implement"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/implement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 101 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 18,156 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00101 $0.18156
Opus 5.5 $0.00040 $0.07262
Sonnet 5.5 $0.00020 $0.03631
Haiku 4.5 $0.00010 $0.01816

Measured yesterday against content hash a4242eeb611a, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

implement scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.

The scan reads SKILL.md. This mod also ships 3 executable files (references/gradle-locked.ps1, references/patch-anchored.py, references/test_patch_anchored.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/implement/SKILL.md · 1,251 lines

How it starts

The opening of the file, as written. The whole thing — 1,251 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Implement

End-to-end workflow for taking MCP work items from queue to PR. This skill composes the schema-driven planning (spec-quality), implementation, review (review-quality), and git/PR workflow into a single pipeline.

Usage:

  • /implement <item-id> — work on a specific item
  • /implement — with context about what to work on
  • Can process single items or multiple items in batch

Step 1 — Assess the Work

Load the item(s) and determine the execution tier and interaction mode.

For each item, call get_context(itemId=...) to understand:

  • Current role and gate status
  • Schema tag (feature-implementation, bug-fix, etc.)
  • Existing notes already filled
  • Dependencies and blocked status

When the user or an item references a PR or commit as already landed, verify its merge state before relying on it — gh pr view <n> --json state,mergeCommit plus git log origin/main — and confirm the working tree is current (Step 2, base-freshness precondition) before any pass that checks whether a change is present in the codebase.

Execution tier — classify by this table (canonical source shared with the task-orchestrator:orchestrate skill; edit the fragment, not this copy):

Criteria Tier Pipeline
1-2 files, known fix, no migration/new API Direct Orchestrator edits, tests, reviews inline
3-10 files, single logical unit, clear or explorable scope Delegated Single subagent, separate review agent
11+ files, multiple independent work streams, dependency edges Parallel Worktree agents, full pipeline

Force-UP signals (bump tier regardless of file count):

  • Database migration → min Delegated
  • New public API surface → min Delegated
  • Multiple independent work streams → Parallel
  • User says "let's plan" / collaborative language → min Delegated

Read the full file on GitHub · 1,251 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. yesterday Changed · +46 lines a4242eeb611a
  2. 2d ago Changed · +54 lines a0ccacb14c64
  3. 7d ago Changed 356aec51bb94
  4. 14d ago Changed 198ebb6142d1
  5. 19d ago Changed · +58 lines 76bbd3c8c9eb
  6. 22d ago Changed · +4 lines 186ae4394b8b
  7. 24d ago Changed · +12 lines 2e149a3fae5f
  8. 1mo ago Changed · +62 lines 503dcf467d18
  9. 1mo ago Changed · +55 lines 249e295098a5
  10. 1mo ago First seen · 960 lines · 101 tokens per session scan A 144e5c69e31e

Subscribe to this mod's changes

implement is a skill published in the GitHub repository jpicklyk/task-orchestrator (209 stars, last pushed today), licensed MIT. It adds 101 tokens to every session and 18,156 once invoked, about $0.0004 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.