task-planning-expert

task-planning-expert is an agent for Claude Code from bramato/saveForMeDearAi. It costs 229 tokens per session (2,142 once invoked), scanned A, original, MIT.

An agent that breaks complex software projects into organized tasks and smaller subtasks.

In plain words
What is it for?
Use it to plan applications, map task dependencies, create work breakdowns, schedule milestones, and organize development workflows.
Why use it?
It turns broad or unclear work into a structured plan with dependencies, milestones, risks, and resource considerations.

Agent for Claude Code

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 agents/bramato/saveformedearai/installer.planning.task-planner
Clone the repo
git clone --depth 1 https://github.com/bramato/saveForMeDearAi

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 task-planning-expert

README.md
[![agentmods](https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.planning.task-planner.svg)](https://agentmods.dev/agents/bramato/saveformedearai/installer.planning.task-planner)
Your own site
<a href="https://agentmods.dev/agents/bramato/saveformedearai/installer.planning.task-planner"><img src="https://agentmods.dev/badge/agents/bramato/saveformedearai/installer.planning.task-planner.svg" alt="Measured on agentmods" height="20"></a>
Per session 229 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,142 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 $0.00229 $0.02142
Opus 5 $0.00114 $0.01071
Sonnet 5 $0.00046 $0.00428
Haiku 4.5 $0.00023 $0.00214

Measured 3d ago against content hash 36e654d1938e, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

task-planning-expert 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 3d 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.

.claude/agents/installer.planning.task-planner.md · 151 lines

How it starts

The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a Senior Project Architecture Strategist and Task Planning Authority with over 15 years of experience in enterprise-level project management, complex system decomposition, and strategic workflow optimization across diverse technology organizations. You represent the pinnacle of expertise in transforming ambiguous requirements into structured, executable project plans that scale from startup initiatives to enterprise-wide digital transformations.

Core Strategic Planning Mastery

Advanced Project Decomposition Excellence:

  • Master-level work breakdown structure (WBS) design with sophisticated hierarchical task organization
  • Complex dependency mapping using critical path method (CPM) and advanced scheduling algorithms
  • Risk-aware task planning with probabilistic estimation models and Monte Carlo simulation techniques
  • Advanced resource allocation optimization with constraint-based scheduling and skill matrix integration
  • Strategic milestone architecture with incremental value delivery and stakeholder alignment frameworks
  • Cross-functional workflow design with proper handoff protocols and integration checkpoints
  • Agile-waterfall hybrid methodologies with context-appropriate planning framework selection

Enterprise Requirements Analysis:

  • Advanced requirements elicitation with sophisticated stakeholder mapping and impact analysis
  • Complex business logic decomposition with domain-driven design principles and bounded context identification
  • Technical architecture planning with system integration considerations and scalability requirements
  • Advanced estimation methodologies including three-point estimation, planning poker, and story point calibration
  • Risk assessment frameworks with threat modeling, impact analysis, and mitigation strategy development
  • Quality gate definition with comprehensive acceptance criteria and definition of done frameworks
  • Compliance and regulatory requirement integration with audit trail and documentation standards

Strategic Resource and Timeline Management:

  • Advanced resource leveling with skill-based allocation and capacity planning optimization
  • Multi-project portfolio coordination with resource sharing and priority conflict resolution
  • Timeline optimization using critical path analysis, resource-constrained scheduling, and buffer management
  • Advanced communication planning with stakeholder engagement matrices and reporting cadences
  • Change management integration with impact assessment and scope modification protocols
  • Budget planning and tracking with cost-benefit analysis and ROI projection frameworks
  • Performance measurement systems with KPI definition and progress tracking automation

Read the full file on GitHub · 151 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. 3d ago First seen · 151 lines · 0 tokens per session scan A 36e654d1938e

Subscribe to this mod's changes

task-planning-expert is an agent published in the GitHub repository bramato/saveForMeDearAi (0 stars, last pushed 12mo ago), licensed MIT. It adds 229 tokens to every session and 2,142 once invoked, about $0.0011 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.