B2b Sdr Agent
iPythoning/b2b-sdr-agent-template
Open-source B2B AI SDR template. An agent skill from iPythoning/b2b-sdr-agent-template.
Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo.
Install Deskcomm Prompt
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install melgarafael/DeskcommCRM deskcomm-prompt --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .claude/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .claude/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-promptType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install melgarafael/DeskcommCRM deskcomm-prompt --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .agents/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .agents/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install melgarafael/DeskcommCRM deskcomm-prompt --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .cursor/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .cursor/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/melgarafael/DeskcommCRM.git --path .agents/skills/deskcomm-prompt--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install melgarafael/DeskcommCRM deskcomm-prompt --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .gemini/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .gemini/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install melgarafael/DeskcommCRM deskcomm-promptInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .github/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .github/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install melgarafael/DeskcommCRM deskcomm-prompt --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/melgarafael/DeskcommCRM.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/deskcomm-prompt .opencode/skills/deskcomm-prompt && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "deskcomm-prompt" agent skill from https://github.com/melgarafael/DeskcommCRM/tree/main/.agents/skills/deskcomm-prompt into .opencode/skills/deskcomm-prompt/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deskcomm-prompt", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
deskcomm-prompt- GitHub stars
- 4.5k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 776 words
- Files
- 4 (incl. references)
- Skills in repo
- 8
- Repo updated
- First seen
- Licence
- MIT
At a glance
Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo.
- Sales & Support work in your project
- SKILL.md covers Como você age, Passo 0 — o que a pessoa vê, Passo 1 — o diagnóstico and Passo 2 — a revisão do prompt, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Deskcomm Prompt is an agent skill from melgarafael/DeskcommCRM. Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo. Use SEMPRE que alguém disser "o agente responde errado", "está robótico", "passa tudo para humano", "não usa a agenda", "inventa preço", "fala demais", "não converte", "melhora o prompt", "otimiza o agente", ou quiser revisar, reescrever ou comparar versões do prompt. Diagnostica pelas execuções, vetos e custos, propõe a versão nova…
Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `agents/openai.yaml`, `references/anatomia-e-antipadroes.md` and `references/diagnostico.md`).
It sits in Sales & Support. It works with WhatsApp. The repository describes itself as: Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready… The licence is MIT.
When your agent uses it
- Sales & Support work in your project
Example prompts
- “o agente responde errado”
- “está robótico”
- “passa tudo para humano”
- “/deskcomm-prompt”
What it can do on your machine
Read from SKILL.md and the folder at commit b3bd604. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Deskcomm Prompt loads about 1.4k tokens when it runs, and up to ~4.2k if it reads all its reference files. Until then it costs about 151 tokens; SKILL.md has 776 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from melgarafael/DeskcommCRM at commit b3bd604, republished under its MIT licence (© melgarafael). 776 words, ~1,427 tokens.
Download SKILL.mdSave it as
.claude/skills/deskcomm-prompt/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- deskcomm-prompt
- description
- Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo. Use SEMPRE que alguém disser "o agente responde errado", "está robótico", "passa tudo para humano", "não usa a agenda", "inventa preço", "fala demais", "não converte", "melhora o prompt", "otimiza o agente", ou quiser revisar, reescrever ou comparar versões do prompt. Diagnostica pelas execuções, vetos e custos, propõe a versão nova em rascunho, testa pelo botão Testar e deixa o Publicar com a pessoa.
- metadata.publico
- dono do negócio, agência, implantador
- metadata.regra
- o prompt do agente é UMA camada; o motor injeta o resto e barra na saída
Afinar o prompt de um agente com dados
"O agente está ruim" quase nunca é o prompt inteiro. Às vezes é o roteador mandando para o agente errado; às vezes é um portão de saída vetando por vocabulário que o próprio prompt ensinou; às vezes é a base de conhecimento que não cobre; às vezes é o horário. Otimizar prompt sem olhar os dados troca um problema por outro. Este guia diagnostica primeiro.
Como você age
- Sabe o que o prompt controla e o que não controla. O texto do agente é uma camada dentro
de um prompt montado pelo motor, e onze portões barram a resposta na saída. Reescrever regra
que o motor já impõe é ruído; escrever jargão ou "encaminhe ao gerente" cria veto e mata a
agenda. Lista completa em
references/anatomia-e-antipadroes.md. - Diagnóstico antes da reescrita. Execuções, vetos, handoffs, consultas à base, custo por
turno:
references/diagnostico.md. Só depois disso você abre o prompt. - Amostra mínima de conversa, com ciência da pessoa. Ler mensagens é ler dado pessoal de
terceiros. Quando for indispensável, poucas conversas, só o trecho, só na instalação, e a
pessoa sabe. Preferir agregados (o guia
deskcomm-metricascobre). - Versão nova, nunca edição. A otimização vira uma versão em rascunho, testada pelo botão Testar com o mesmo roteiro antes e depois; o clique em Publicar é da pessoa. Versão publicada é imutável e reversível.
- Uma mudança por vez, medida. Trocar cinco coisas e a conversão subir não ensina nada.
Passo 0 — o que a pessoa vê
Uma pergunta por vez: qual agente; o que acontece (a frase exata que incomoda, se houver); desde quando; o que mudou perto disso (versão publicada, materiais, roteador, número novo). Descubra a versão publicada e a data — as métricas comparam "antes/depois" por essa data.
Passo 1 — o diagnóstico
Rode o bloco de references/diagnostico.md: vetos por portão nas execuções recentes (se o veto é
internal_vocabulary ou promise, a origem costuma ser o prompt); handoffs e casos (passa demais
ou de menos); consultas à base sem acerto (material que falta × limiar); roteador errando
(intenções, não prompt); custo e tamanho do turno; fora da janela. Cada sinal aponta para uma
causa — e nem toda causa é prompt.
| sinal | causa provável | onde mexer |
|---|---|---|
| vetos de vocabulário interno | prompt cita ferramenta, "lead", etapa, sistema | prompt |
| vetos de promessa | prompt permite desconto/prazo que a tabela não permite (ou a tabela não existe) | prompt + tabela de promessas |
| "vou confirmar com o gerente" e agenda parada | prompt manda encaminhar tudo a uma pessoa nomeada | prompt |
| base sem acerto com score perto do limiar | limiar apertado | ajuste avançado (técnico) |
| base sem acerto com score baixo | material não cobre | conhecimento, não prompt |
| agente errado respondeu | intenções do roteador | roteador |
| respostas longas, custo alto | prompt gigante (o turno custa ao menos duas chamadas) | prompt: cortar o que o motor já faz |
| some à noite | horário do agente | configuração, não prompt |
Show full SKILL.md (299 more words)Show less
Passo 2 — a revisão do prompt
Com o diagnóstico, abra a versão publicada e revise contra o checklist de
references/anatomia-e-antipadroes.md: o que está lá e o motor já impõe (corte); o que está lá e
cria veto (reescreva); o que falta (diagnóstico antes da oferta, situações, quando usar
capacidade, limites por situação); tom e tamanho. Conteúdo situacional (objeção de preço,
reativação) vai para skill do produto, não para o prompt — o corpo só entra quando o assunto
aparece.
Escreva a versão nova inteira em prompt-<agente>-v<N>.md com um bloco "o que mudou e por quê",
uma linha por mudança, ligada ao sinal do diagnóstico.
Passo 3 — antes/depois pelo botão Testar
Monte 5 a 8 mensagens do nicho (o guia deskcomm-cliente-novo tem roteiros) cobrindo o que
incomodava. Rode cada uma na versão publicada e na versão nova (rascunho) pelo botão Testar:
compare texto, ações tentadas e portões. Registre a tabela em references/diagnostico.md
(seção "antes/depois"). Se a nova não melhora onde doía, não publique — volte ao diagnóstico.
Passo 4 — publicar (a pessoa) e medir (você, depois)
A pessoa clica em Publicar. Anote a data e a versão. Em 7 a 14 dias, o guia deskcomm-metricas
compara handoffs, vetos, custo por turno e conversão antes/depois da data da publicação —
é a única prova de que a otimização valeu. Piorou? Reverter cria uma versão a partir da
anterior em segundos.
O que você nunca faz
- Não edita a tabela do agente no banco (o motor ignora; a rota barra).
- Não publica sem a pessoa ver o antes/depois.
- Não troca modelo, provedor ou credencial "de brinde" — é outra mudança, medida à parte.
- Não escreve no prompt regra que é portão do motor, nem nome de ferramenta, nem placeholder
{{assim}}. - Não conclui pela conversa de um cliente só. Uma frase ruim é anedota; padrão é dado.
© melgarafael, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (references) in .agents/skills/deskcomm-prompt of melgarafael/DeskcommCRM.
- SKILL.md
- agents/openai.yaml
- references/anatomia-e-antipadroes.md
- references/diagnostico.md
Open the folder on GitHubat commit b3bd604
Compare with similar skills
Deskcomm Prompt next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Deskcomm Prompt this skillmelgarafael/DeskcommCRM | 4.5k | — | ~1.4k | Automated safety check: Pass | MIT | |
| B2b Sdr AgentiPythoning/b2b-sdr-agent-template | 190 | — | ~744 | Automated safety check: Pass | MIT-0 | |
| Lead DiscoveryiPythoning/b2b-sdr-agent-template | 190 | — | ~961 | Automated safety check: Pass | MIT | |
| Cashclaw Whatsapp Managerertugrulakben/cashclaw | 303 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Service Omni Channel Inventory Analyzeforcedotcom/sf-skills | 1.1k | — | ~1.2k | Automated safety check: Notes | Apache-2.0 | |
| Marketing Message Testforcedotcom/sf-skills | 1.1k | — | ~5.1k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Deskcomm Prompt
What does Deskcomm Prompt do?
Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo. Deskcomm Prompt is an agent skill from melgarafael/DeskcommCRM. Guia para afinar o prompt de um agente de IA do DeskcommCRM que não está performando — como um engenheiro de prompt sênior de atendimento e vendas, com dados da operação, não achismo.
When should I use Deskcomm Prompt?
Deskcomm Prompt fits situations like: sales & Support work in your project.
How do I install Deskcomm Prompt in Claude Code?
Run `npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a claude-code`. Or copy the skill folder (.agents/skills/deskcomm-prompt in melgarafael/DeskcommCRM) into .claude/skills/deskcomm-prompt in your project. Claude Code loads it when a task matches its description.
How do I install Deskcomm Prompt in Codex?
Run `npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a codex`. Or copy the skill folder (.agents/skills/deskcomm-prompt in melgarafael/DeskcommCRM) into .agents/skills/deskcomm-prompt in your project. Codex loads it when a task matches its description.
Can I use Deskcomm Prompt in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add melgarafael/DeskcommCRM --skill deskcomm-prompt -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deskcomm-prompt, .gemini/skills/deskcomm-prompt, .github/skills/deskcomm-prompt and .opencode/skills/deskcomm-prompt in your project.
What does Deskcomm Prompt need to run?
SKILL.md names no scripts, command-line tools or credentials: Deskcomm Prompt is instructions for the agent only.
Does Deskcomm Prompt access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Deskcomm Prompt safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Deskcomm Prompt use?
Deskcomm Prompt is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Deskcomm Prompt use?
About 1.4k tokens (SKILL.md is roughly 5.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.7k tokens, read only when the agent opens those files.
What are the alternatives to Deskcomm Prompt?
Skills that share tags, products or a category with Deskcomm Prompt: B2b Sdr Agent (iPythoning/b2b-sdr-agent-template, 190 stars), Lead Discovery (iPythoning/b2b-sdr-agent-template, 190 stars), Cashclaw Whatsapp Manager (ertugrulakben/cashclaw, 303 stars) and Service Omni Channel Inventory Analyze (forcedotcom/sf-skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Deskcomm Prompt?
melgarafael (a GitHub user) maintains it in melgarafael/DeskcommCRM, which has 4,530 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on October 11, 2026.
Source: melgarafael/DeskcommCRM on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.