SKILLEMALL.ai

BF saying-no-kindly

Decline requests without damaging relationships or your standing — the fast-clear-warm formula, the alternative-attached no, the no-to-the-boss version (tradeoffs, not refusal), and scripts for the asks that recur. Use when asked how do I say no to this, turn down a request, decline extra work politely, I say yes to everything and drown, push back on my manager, or protect the roadmap from a pet feature. Produces the decline scripts by relationship, the tradeoff framing, and the exact wording tuned to who is asking.

mohitagw15856/pm-claude-skills Agent Skills author: mohitagw15856 MIT 1 file body ≈ 1 248 tokens Open the sourcegithub.com analyzed 2 d ago

Decline requests without damaging relationships or your standing — the fast-clear-warm formula, the alternative-attached no, the no-to-the-boss version…

As a process F 49/100 · Will not run — References files that are not bundled: ../task-triage-matrix/SKILL.md, ../meeting-prep-pack/SKILL.md, ../recurring-meeting-pruner/SKILL.md

GeneratorOperations and projectsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
F
49/100
Will not run
References files that are not bundled: ../task-triage-matrix/SKILL.md, ../meeting-prep-pack/SKILL.md, ../recurring-meeting-pruner/SKILL.md
Tools and files w 18
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten
This is a copy of a skill from another catalog; the rating counts the canonical one: saying-no-kindly (mohitagw15856/pm-claude-skills)

How to improve

  1. The text references files that are not there: add them or drop the references.
For the model run — optional
  • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 0

✓ No critical or high findings

Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: ../task-triage-matrix/SKILL.md
  • warning missing-ref reference to a missing file: ../meeting-prep-pack/SKILL.md
  • warning missing-ref reference to a missing file: ../recurring-meeting-pruner/SKILL.md
  • warning missing-ref reference to a missing file: ../office-hours-design/SKILL.md

Process rating: all ten parameters 49/100

Will not run. References files that are not bundled: ../task-triage-matrix/SKILL.md, ../meeting-prep-pack/SKILL.md, ../recurring-meeting-pruner/SKILL.md
  • 0Tools and files. 4 referenced file(s) missing: ../task-triage-matrix/SKILL.md, ../meeting-prep-pack/SKILL.md, ../recurring-meeting-pruner/SKILL.md
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 7 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 23 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1248 tokens
  • low 10 top-level sections: this looks like several domains in one skill

Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

Quality signals

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +3Description length 521: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 23 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.