don-cheli-sdd: Skill for Claude Code

.agent/skills/doncheli-planning/SKILL.md

doncheli-planning is a skill for Claude Code from doncheli/don-cheli-sdd. It costs 61 tokens per session (549 once invoked), scanned A, original, Apache-2.0.

A weekly team-planning workflow for ranking and assigning engineering work. It uses WSJF, or Weighted Shortest Job First, a scoring method that weighs business value, urgency, risk reduction, and estimated job size.

In plain words
What is it for?
Use it to plan a sprint or week from a list of features, bugs, RFCs, or technical debt. It scores and orders the work, calculates effective capacity, and assigns items to people, pairs, or squads.
Why use it?
It helps teams choose work based on value and available capacity instead of guesswork. It also exposes items that do not fit, respects dependencies, and limits too much simultaneous work.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

This is doncheli/don-cheli-sdd's own configuration. It tells Claude Code how to work on don-cheli-sdd 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 don-cheli-sdd configures →

Part of the don-cheli-sdd plugin — 28 skills, 115 commands, 1 agent shipped together

Reuse

Borrowing it

Nothing to install: this file belongs to doncheli/don-cheli-sdd. 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/doncheli/don-cheli-sdd/main/.agent/skills/doncheli-planning/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/doncheli/don-cheli-sdd

Made for: Claude Code.

Or install don-cheli-sdd, the plugin that ships this one along with the rest of its 28 skills, 115 commands, 1 agent.

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README.md
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Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 549 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 $0.00061 $0.00549
Opus 5 $0.00030 $0.00275
Sonnet 5 $0.00012 $0.00110
Haiku 4.5 $0.00006 $0.00055

Measured 13d ago against content hash e3b9c9efa8a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

doncheli-planning 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 13d 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.

.agent/skills/doncheli-planning/SKILL.md · 61 lines

What it actually says

Don Cheli: Weekly Team Planning

Instructions

  1. Collect inputs:
    • List of candidate items (RFCs, stories, bugs, tech debt)
    • Team roster with names and available capacity (hours or days)
    • Focus factor (default: 0.7 — 70% of calendar time is productive)
  2. Score each item using WSJF (Weighted Shortest Job First):
    • WSJF = (Business Value + Time Criticality + Risk Reduction) / Job Size
    • Score each dimension 1–13 (Fibonacci)
  3. Sort by WSJF descending; mark items that exceed available capacity as OUT
  4. Assign items to individuals, pairs or squads respecting:
    • Skill fit (if declared)
    • WIP limit per person (default: 2 concurrent items)
    • Dependencies between items
  5. Output the planning board and capacity summary

Output Format

## Weekly Planning — <date range>

### Capacity
| Person/Squad     | Available | Focus Factor | Effective Capacity |
|------------------|-----------|--------------|--------------------|
| <name>           | X days    | 0.7          | Y days             |

### WSJF Scoring
| Item             | BV | TC | RR | Size | WSJF | Status  |
|------------------|----|----|----|------|------|---------|
| <item>           | X  | X  | X  | X    | X.X  | IN/OUT  |

### Assignments
| Item             | Assignee         | Estimated Effort | Dependencies |
|------------------|------------------|------------------|--------------|
| <item>           | <name/pair>      | X days           | —            |

### Items Deferred (OUT)
- <item> — reason: capacity / dependency / missing info

### Open Risks / Blockers
- …

Quality Gate

  • Total assigned effort must not exceed team effective capacity
  • No person assigned more than WIP limit concurrent items
  • Every OUT item must have a stated reason

Do not use this skill when

  • The user wants to plan a single feature in isolation (use doncheli-estimate instead)
  • There is only one person and fewer than 3 items (a simple list suffices)
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. 13d ago First seen · 61 lines · 61 tokens per session scan A e3b9c9efa8a3

Subscribe to this mod's changes

doncheli-planning is a skill published in the GitHub repository doncheli/don-cheli-sdd (57 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 61 tokens to every session and 549 once invoked, about $0.0003 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 2026-08-30.