task-workflows

A set of step-by-step planning processes for common coding tasks, including new features, bug fixes, code cleanup, testing, performance work, and research.

In plain words
What is it for?
Use it to classify a task, guide discovery and implementation, validate the plan, and prepare the work before execution.
Why use it?
It helps an agent choose an appropriate sequence of work instead of using the same plan for every task. Some steps also pause for user acceptance testing, where the user checks whether the result meets their needs.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/jonathanung/finesse/task-workflows
Any agent
npx skills add jonathanung/finesse --skill task-workflows
Clone the repo
git clone --depth 1 https://github.com/jonathanung/finesse

Made for: Claude Code, Codex.

Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 6,579 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00027 $0.06579
Opus 5 $0.00014 $0.03290
Sonnet 5 $0.00005 $0.01316
Haiku 4.5 $0.00003 $0.00658

Measured 2d ago against content hash dfc0b700fe2a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-workflows 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 2d ago.

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.

plugins/finesse/skills/task-workflows/SKILL.md · 589 lines

How it starts

The opening of the file, as written. The whole thing — 589 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Task Workflows

After detecting the task type, follow the corresponding workflow below. Every workflow ends with plan construction, validation, pre-flight, and presentation. The phases before that differ by task type.


UAT Checkpoints

Phases marked with [UAT] require a User Acceptance Testing checkpoint as defined in the main command (finesse.md). When you complete a [UAT] phase, follow the UAT Checkpoint Procedure before proceeding to the next phase.

If the user has elected to fast-forward UAT (by selecting "Accept and skip remaining UAT" at any checkpoint), skip the checkpoint and proceed directly. Discovery/Understanding phase confirmations are never affected by fast-forward.


Task Type Detection

Classify the user's task into one of these types based on their description:

Type Signals
feature "Add", "build", "create", "implement", "new", introduces new functionality
bugfix "Fix", "broken", "not working", "error", "crash", "wrong", "regression"
refactor "Refactor", "clean up", "reorganize", "restructure", "improve code", "tech debt"
testing "Add tests", "test coverage", "write tests", "validate", "QA"
performance "Slow", "optimize", "performance", "speed up", "bottleneck", "latency"
research "Research", "investigate", "compare", "evaluate", "analyze", "study", "survey", "document", "explore options", "understand", "assessment", "trade-offs", "pros and cons", "spike", "feasibility"

If ambiguous, ask the user. Do not guess.


Scope Analysis & Decomposition Framework

After exploration reveals codebase context but before architecture/strategy design, analyze whether the task should be decomposed into multiple independent sub-workflows that each run as a separate ralph-loop.

Decomposition Triggers

Propose splitting when ANY of these apply:

  • Estimated iteration count exceeds 25 (the ralph-loop ceiling)
  • Task touches more than 2 independent functional areas with no shared state
  • Task contains sub-tasks with no mutual dependencies

Read the full file on GitHub · 589 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. 2d ago First seen · 589 lines · 27 tokens per session scan A dfc0b700fe2a

Subscribe to this mod's changes

task-workflows is a skill published in the GitHub repository jonathanung/finesse (4 stars, last pushed 6mo ago), licensed MIT. It adds 27 tokens to every session and 6,579 once invoked, about $0.0001 per session on Opus 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 2026-08-31.

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