task-orchestrator: Skill for Claude Code

.claude/skills/feature-implementation/SKILL.md

feature-implementation is a skill for Claude Code from jpicklyk/task-orchestrator. It costs 112 tokens per session (2,172 once invoked), scanned A, original, MIT.

A workflow for managing a feature work item from its queue entry through implementation and review. The feature item acts as a container for related smaller tasks.

In plain words
What is it for?
Use it to create or resume a feature item, determine its current phase, manage child feature tasks, dispatch implementation work, and complete the feature review.
Why use it?
It provides required notes and checkpoints for planning, implementation, testing, and review, so a larger feature has a traceable process.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents.

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/feature-implementation/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 feature-implementation

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/jpicklyk/task-orchestrator/feature-implementation"><img src="https://agentmods.dev/badge/skills/jpicklyk/task-orchestrator/feature-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 112 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,172 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 $0.00112 $0.02172
Opus 5.5 $0.00045 $0.00869
Sonnet 5.5 $0.00022 $0.00434
Haiku 4.5 $0.00011 $0.00217

Measured today against content hash 2d3ae7524c77, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

feature-implementation 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 today.

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/feature-implementation/SKILL.md · 251 lines

How it starts

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

Feature Implementation Workflow

End-to-end workflow for a feature-implementation tagged item — the feature container that holds the plan and holistic review. Child work items under this container use the feature-task tag with lighter gates (task-scope instead of the feature-level feature-summary, and no review phase by default — task-level review is opt-in via the needs-task-review trait, which adds a review-checklist note to that child). A second child-level trait, needs-test-author, is opt-in the same way (applied per the /implement Step 1 trigger rule) and adds its own gate-enforced notes.

Covers all three phases (queue → work → review) with gate-enforced notes at each transition.

Usage: /feature-implementation [item-uuid]

  • If item-uuid is provided: load the existing item and resume from its current phase
  • If omitted: create a new item and start from the beginning

Phase 0 — Setup

If an item UUID was provided, call:

get_context(itemId="<uuid>")

Check canAdvance and missingRequiredNotes to determine which phase the item is in, then jump to the appropriate phase below.

If no UUID was provided, create the item:

manage_items(
  operation="create",
  items=[{ title: "<feature title>", tags: "feature-implementation", priority: "medium" }]
)

Note the returned UUID and expectedNotes list. Confirm the item is in queue role, then continue to Phase 1.


Phase 1 — Queue: Define the Feature Summary

Goal: Fill the single required queue-phase note before advancing to work.

1a. Fill feature-summary

Use manage_notes to upsert the feature-summary note:

manage_notes(
  operation="upsert",
  notes=[{
    itemId: "<uuid>",
    key: "feature-summary",
    role: "queue",
    body: "<content>"
  }]
)

What to write: Keep this note lean (target under 2k chars) — it stays at the feature level, not the child-task level where the full spec-quality disciplines apply. Cover:

  • Goal — the problem this solves and who benefits.
  • Findings → tasks table — a table mapping each finding or requirement to the child task that will address it.
  • Dependency edges — ordering constraints between child tasks, if any.
  • Non-goals pointer — a reference to where non-goals are documented per child (each child's task-scope note carries its own alternatives/non-goals/blast-radius/risk/test strategy per the spec-quality framework); this note does not repeat that analysis.

Read the full file on GitHub · 251 lines

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. today Changed · +2 lines 2d3ae7524c77
  2. 1mo ago First seen · 249 lines · 112 tokens per session scan A 89110352666c

Subscribe to this mod's changes

feature-implementation is a skill published in the GitHub repository jpicklyk/task-orchestrator (208 stars, last pushed today), licensed MIT. It adds 112 tokens to every session and 2,172 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.