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accounting-software-selection

Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.

Install / Use

npx skills add sickn33/agentic-awesome-skills --skill accounting-software-selection

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

98/100

Supported Platforms

Universal

Our assessment of accounting-software-selection

accounting-software-selection scores 98/100 on our quality scale, 18th of 597 Data & Analytics skills we index (top 4%).

Its SKILL.md is 29 KB long, well organised into 19 sections with 3 code examples: a thorough specification that gives an agent plenty to work with.

With 47,306 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
30/30
Structure
18/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated yesterday, so accounting-software-selection is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

accounting-software-selection compared with similar skills

All 4 of these similar skills score higher than accounting-software-selection; compare them before choosing.

SkillScoreStarsUpdatedFormat
accounting-software-selection (this skill)by sickn339847.3k1d agoSKILL.md
claude-memby thedotmack10097.5ktodayCLAUDE.md
algorithmic-artby anthropics100177.9k15d agoSKILL.md
pptxby anthropics100177.9k15d agoSKILL.md
designby nextlevelbuilder100133.6k4d agoSKILL.md

Frequently asked questions

How do I install accounting-software-selection?
Run npx skills add sickn33/agentic-awesome-skills --skill accounting-software-selection. The install tabs above show the steps for each supported agent.
Which AI agents does accounting-software-selection work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is accounting-software-selection safe to use?
It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is accounting-software-selection still maintained?
The repository was last updated yesterday, so accounting-software-selection is actively maintained.

name: accounting-software-selection description: 'Scores shortlisted accounting packages against 57 evidence-backed fields, emitted as CSV, SQL, JSON Schema or Notion on request. Use for choosing accounting software.' category: business risk: safe source: self source_type: self date_added: '2026-09-26' author: WHOISABHISHEKADHIKARI tags:

  • sme
  • accounting
  • audit
  • finance
  • database
  • csv
  • notion
  • sql
  • evaluation tools: [] source_repo: WHOISABHISHEKADHIKARI/sme-ops-system-builder

Accounting Software Selection

What it is: The evidence behind a software purchase, recorded so the decision is arguable - and the decision itself still belongs to the business.

Overview

Works out the smallest useful Accounting Software Selection setup for the business in front of it, then builds it only when asked. The default output is a short recommendation, not a spreadsheet. Artifacts - CSV, SQL DDL, JSON Schema, Notion mapping - are produced on request, from one field list so they cannot drift apart.

For a Nepal trading, manufacturing or services business, this is the record that makes the purchase arguable: requirements ranked, a candidate shortlist, the same demo tests run against every candidate, the evidence behind every score, cost split so first-year and three-year totals can be compared, and the evaluation status, selection decision, rejection reason and deal-breaker flag kept as four separate fields instead of one opinion. It is an evaluation and decision-support tool, not a bookkeeping, tax-filing, legal or procurement system.

Four guardrails shape every row.

Nothing is invented, and nothing is asserted without a source. Never supply a vendor capability, a price, a compliance status, a demo result or a stakeholder score that the user or a named source did not give. What nobody has verified is Untested for a capability and an empty cost cell with Unknown in Notes for a price. A capability nobody has looked at is Untested; it is not 1 Missing, and a blank is never filled with a plausible number so the row looks finished.

This skill never selects. It may summarise the evidence, name the requirements a candidate fails, and state that a Must-have is failed. It must not declare a package the best option, announce a winner, state a compliance conclusion or record an approval. The business fills Selection Decision itself.

Fact and opinion stay apart. The thirty capability fields carry what the vendor documented or demonstrated. The three Rating fields carry the named evaluator's own judgement. A brochure claim is never copied into a Rating, and an evaluator's impression is never written into a capability field. An average across evaluators is not objective truth and a score never becomes a recommendation.

Nepal tax and statutory claims need cited, current evidence. VAT, PAN, TDS, IRD reporting, e-billing, CBMS, the Nepal fiscal year and BS/AD dates, payroll and SSF are Untested until the business holds current evidence from the vendor or from the authority. No compliance status is claimed from a brochure or a sales page, and absence of evidence is not evidence of absence in either direction.

Layer: Layer 1: Foundation. Fits: Growth stage. Table code: n/a.

When to Use This Skill

  • accounting software selection
  • accounting and erp software comparison
  • vendor demo evaluation sheet
  • accounting package quotation tracker
  • three year software cost comparison

Also use it when the user describes a scored evaluation of shortlisted accounting packages before one is chosen, or the same process happening in a spreadsheet, a document or someone inboxes.

Do not use it for: day-to-day bookkeeping once a package is live, tax filing, vendor contracting or legal advice. This skill produces empty templates only - it never holds or processes real employee, customer, supplier or vendor data.

How It Works

Follow the shared execution contract. The module-specific rules below define only domain fields, decisions, calculations, and safety constraints.

Step 1 - Identify intent

Read the request and pick the intent before asking anything.

  • "set up" or "build" or "create" -> the user wants artifacts; go to Step 2.
  • "compare" or "which one should we pick" -> the user wants an evaluation; capture the shortlist, then Step 2.
  • "our process is ..." or "it is in a sheet" -> the user wants to move an existing evaluation; capture it, then Step 2.
  • "is this right" or "review" or "audit" -> the user wants a check, not a build; answer from what they share.
  • "report" or "how do I ..." -> advice question; answer directly and offer the build only if it helps.

Then read everything the user has already said and find the single missing answer that would change the evaluation most. If the request already contains enough to recommend, do not ask yet - go to Step 4. If the user is describing a problem rather than requesting an evaluation, answer it first; a question is not owed.

One message, one short question, no batching. Open with:

Q: Which accounting or ERP packages are currently on your shortlist?

Never open with that when the request has already named the packages, and never open with a question that does not change the output - "what is your biggest expense category this month" tells you nothing about which package fits. If there is no shortlist, do not force one: collect the business requirements first and build the candidate shortlist from them in Step 4.

Do not clarify an optional identifier, label or reference before a fact that changes the evaluation. Evaluation ID, vendor name and other optional record labels may remain Unknown; ask about the shortlist first, or the business requirements when there is no shortlist.

Step 2 - Ask only what is missing

Treat ambiguous replies as unanswered and ask which explicit option the user means. Record unknown values as Unknown; Unknown is not zero. A record must not be Done when a required check fails.

Skip anything the user already answered, in any earlier message. Ask the rest one at a time, in the order below, because it runs from the answer that changes the comparison most to the answer that changes it least. Stop as soon as the remaining answers would not change the shortlist, a score or the build.

  1. Shortlist - which packages, or that there is none and one has to be built from the requirements.
  2. What the business does - trading, manufacturing, services, or a mix. This decides which of the 35 categories are worth scoring at all.
  3. Scale - people, transactions a month, companies, branches, warehouses. Only ask if the answer would change the shortlist.
  4. Requirements and their priority - ask for the list, then ask for each one to be ranked Must-have, Should-have, Nice-to-have or Not required. The deal-breaker rule needs that ranking before anything is scored.
  5. Nepal requirements - VAT, PAN, TDS, IRD reporting, e-billing or CBMS, Nepal fiscal year and BS/AD dates, payroll, SSF. Do not assume a package supports any of them.
  6. Platform - cloud or on-premise, permissions, approvals, maker-checker, backup, security, API, integrations, data export, migration, customization, local support, training.
  7. Money - which currency, and whether a written quotation is in hand. Take a price only from a quotation.
  8. Outcome - CSV, SQL DDL, JSON Schema, Notion mapping, a go-live checklist, or just the evaluation. Build nothing that was not asked for.

An answer that does not choose is not an answer. yes, maybe, same, okay and fine to a multiple-choice question are rejected, and the choice is re-asked explicitly:

Q: For the accounting scope, which do you mean: general ledger and bank reconciliation only, or general ledger, receivables, payables and fixed assets?

A partial answer keeps the part that was given and leaves the rest Unknown. Never fill the gap.

Never invent an answer. Record it as Unknown and carry on, and never re-ask the same unknown. Unknown is not zero, and Unknown is not a low score: a price nobody quoted leaves the cost cell empty, and a capability nobody checked is Untested, never 1 Missing and never 0.

Step 3 - Hold the internal context

Hold the answers in this shape. It stays internal - it is not shown to the user unless they ask, and it never carries a value the user did not give.

module: accounting-software-selection
intent: null            # set in Step 1, one of: set up, compare, review, report, import
scale: null             # Starter | Growth | Scale, only if the answer changes it
areas:
  "Shortlist": null
  "Business activities": null
  "Requirements priority": null
  "Nepal requirements": null
  "Platform and money": null
requirement_priority: null   # each need as Must-have | Should-have | Nice-to-have | Not required
candidates: []          # shortlist, each with its own row and its own evidence
unverified: []          # every capability still Untested and every cost still Unknown
requested_outputs: []   # csv | sql | json | notion | xlsx - requested formats only
confirmed_facts: []     # only what the user actually said
open_questions: []      # the unanswered ones, in the order worth asking

unverified is the list that must be visible before any recommendation is made. A candidate with entries in it is not ready for Selection Decision: Selected, whatever its scores say.

Step 4 - Recommend the smallest workflow

Give a short recommendation, then ask whether to build it. Do not build unprompted, and do not name a preferred package in it.

Recommended approach: One evaluation record per shortlisted package, scored on the same capability, cost and support fields, with the evidence and the evaluator kept beside the score, so the comparison is repeatable and the go-live settings come off the same record.

Why this one: Software decisions get argued on memory. Scoring every candidate on identical fields, with identical tests, turns the argument into a table - and it keeps the business's decision visible instead of burying it in one summary column.

Workflow: Requirements → Candidate Shortlist → Vendor Demo → Standardized Tests → Stakeholder Evaluation → Cost/TCO Review → Business Decision → Configuration → Migration → Training → Go-live

Shortlist: If the user has no shortlist, build one from the confirmed requirements. Candidate names are a starting point only, because inclusion depends on the requirements and on capabilities verified from current sources. Never state that a named product supports or lacks a capability without that evidence.

Requirements priority: Rank every requirement Must-have, Should-have, Nice-to-have or Not required before scoring anything. The canonical list has no separate column for the ranking, so write it into Modules Needed as Must-have:, Should-have:, Nice-to-have: and Not required: prefixes, one per line.

Deal-breaker: A candidate that fails a Must-have is flagged Deal-breaker: Yes. No score anywhere else is allowed to hide it, and an average is not a way around it. No is written only after the candidate has been tested against every Must-have; until then Deal-breaker reads Unknown, because an untested candidate has not been shown to pass.

Evaluation framework: Every candidate is scored on the same 35 categories - accounting, sales, purchasing, inventory, manufacturing, BOM, production/work orders, production costing, wastage/scrap, batch/lot tracking, services, VAT, TDS, payroll/SSF, Nepal statutory reporting, e-billing/CBMS, financial reporting, multi-company, branches, warehouses, user permissions, approval workflows, security, backup/recovery, data migration, API/integrations, data export, implementation, training, customization, local support, reliability, ease of use, support quality, total cost of ownership. The 33 scored fields cover the 35 categories: `Data

Truncated for display — read the full file on GitHub.

Related Skills

View on GitHub
GitHub Stars47.3k
CategoryData
Updated1d ago
Forks6.9k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions
accounting-software-selection — Universal Skill: Install & Safety Check | SkillAgent