Integrate Whatsapp
gokapso/agent-skills
Connect WhatsApp to your product with Kapso: onboard customers with setup links, detect connections, receive events via webhooks, and send messages/templates/media.
Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes.
Install Messaging Performance Analyzer
$ npx skills add aiskillstore/marketplace --skill messaging-performance-analyzer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install aiskillstore/marketplace messaging-performance-analyzer --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/aiskillstore/marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .claude/skills/messaging-performance-analyzer && 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 "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .claude/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzerType 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 aiskillstore/marketplace --skill messaging-performance-analyzer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install aiskillstore/marketplace messaging-performance-analyzer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .agents/skills/messaging-performance-analyzer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .agents/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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 aiskillstore/marketplace --skill messaging-performance-analyzer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install aiskillstore/marketplace messaging-performance-analyzer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .cursor/skills/messaging-performance-analyzer && 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 "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .cursor/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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/aiskillstore/marketplace.git --path skills/sentdm/messaging-performance-analyzer--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 aiskillstore/marketplace --skill messaging-performance-analyzer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install aiskillstore/marketplace messaging-performance-analyzer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .gemini/skills/messaging-performance-analyzer && 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 "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .gemini/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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 aiskillstore/marketplace messaging-performance-analyzerInstalls 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 aiskillstore/marketplace --skill messaging-performance-analyzer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .github/skills/messaging-performance-analyzer && 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 "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .github/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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 aiskillstore/marketplace --skill messaging-performance-analyzer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install aiskillstore/marketplace messaging-performance-analyzer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/aiskillstore/marketplace.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/sentdm/messaging-performance-analyzer .opencode/skills/messaging-performance-analyzer && 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 "messaging-performance-analyzer" agent skill from https://github.com/aiskillstore/marketplace/tree/main/skills/sentdm/messaging-performance-analyzer into .opencode/skills/messaging-performance-analyzer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "messaging-performance-analyzer", 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
messaging-performance-analyzer- GitHub stars
- 430
- Token cost
- ~3.3k tokens
- SKILL.md length
- 1,587 words
- Files
- 8 (incl. scripts, references)
- Skills in repo
- 1,108
- Repo updated
- First seen
- Licence
- None found
At a glance
Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes.
- Works in 7 steps: Pin the question before slicing the funnel → Build cohorts from Sent message IDs → Normalize lifecycle stages to Sent’s… → …
- A user says MDR
- SKILL.md covers Overview, When to use, Evidence hierarchy and Process, plus 4 more sections
- Runs Python scripts from its folder; calls python
What it does
Messaging Performance Analyzer is an agent skill from aiskillstore/marketplace. Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes. Use when a user says MDR, delivery report, message activity, webhook event, failed messages, low delivery rate, RCS fallback, WhatsApp read rate, SMS filtering, campaign performance, or asks why messages did not arrive.
Its SKILL.md is about 3.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 11 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/mdr-status-codes.md` and `references/performance-diagnosis-playbook.md`).
It sits in Backend & APIs, covering Webhooks. It works with WhatsApp. The repository describes itself as: Security-audited skills for Claude, Codex & Claude Code. One-click install, quality verified.
When your agent uses it
- A user says MDR
- Delivery report
- Message activity
- Failed messages
Example prompts
- “Use the messaging-performance-analyzer skill to analyz Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery…”
- “/messaging-performance-analyzer”
Requirements
- Python 3
Workflow steps
7 steps, taken from the step headings in SKILL.md.
- Pin the question before slicing the funnel
- Build cohorts from Sent message IDs
- Normalize lifecycle stages to Sent’s documented statuses
- Check webhook health before diagnosing delivery
- Split by channel before naming a root cause
- Quantify impact before recommending fixes
- Convert the diagnosis into the next action
What it can do on your machine
Read from SKILL.md and the folder at commit ad8daf7. 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
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python
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
Messaging Performance Analyzer loads about 3.3k tokens when it runs, and up to ~9.8k if it reads all its reference files. Until then it costs about 107 tokens; SKILL.md has 1,587 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 1,587 words (~3,301 tokens).
- name
- messaging-performance-analyzer
Files
SKILL.md and 7 other files (scripts, references) in skills/sentdm/messaging-performance-analyzer of aiskillstore/marketplace.
- SKILL.md
- agents/openai.yaml
- references/mdr-status-codes.md
- references/performance-diagnosis-playbook.md
- scripts/analyze_mdr_funnel.py
- scripts/fixtures/bad.json
- scripts/fixtures/good.json
- skill-report.json
Open the folder on GitHubat commit ad8daf7
Compare with similar skills
Messaging Performance Analyzer 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 |
|---|---|---|---|---|---|---|
| Messaging Performance Analyzer this skillaiskillstore/marketplace | 430 | — | ~3.3k | Automated safety check: Pass | None | |
| Integrate Whatsappgokapso/agent-skills | 175 | — | ~4.8k | Automated safety check: Pass | None | |
| Observe Whatsappgokapso/agent-skills | 175 | — | ~1.8k | Automated safety check: Pass | None | |
| Channel Debug Corevercel-labs/vercel-openclaw-archived | 117 | — | ~2k | Automated safety check: Notes | MIT | |
| Frontmcp Channelsagentfront/frontmcp | 146 | — | ~3.7k | Automated safety check: Pass | Apache-2.0 | |
| Integrate Whatsapp Callinggokapso/agent-skills | 175 | — | ~2.1k | Automated safety check: Pass | None |
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Questions about Messaging Performance Analyzer
What does Messaging Performance Analyzer do?
Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes. Messaging Performance Analyzer is an agent skill from aiskillstore/marketplace. Analyzes Sent message delivery, webhook, and activity data to explain funnel drop-offs, delivery failures, read-rate gaps, channel fallback, and suspicious performance changes.
When should I use Messaging Performance Analyzer?
Messaging Performance Analyzer fits situations like: A user says MDR; delivery report; message activity; failed messages.
How do I install Messaging Performance Analyzer in Claude Code?
Run `npx skills add aiskillstore/marketplace --skill messaging-performance-analyzer -a claude-code`. Or copy the skill folder (skills/sentdm/messaging-performance-analyzer in aiskillstore/marketplace) into .claude/skills/messaging-performance-analyzer in your project. Claude Code loads it when a task matches its description.
How do I install Messaging Performance Analyzer in Codex?
Run `npx skills add aiskillstore/marketplace --skill messaging-performance-analyzer -a codex`. Or copy the skill folder (skills/sentdm/messaging-performance-analyzer in aiskillstore/marketplace) into .agents/skills/messaging-performance-analyzer in your project. Codex loads it when a task matches its description.
Can I use Messaging Performance Analyzer 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 aiskillstore/marketplace --skill messaging-performance-analyzer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/messaging-performance-analyzer, .gemini/skills/messaging-performance-analyzer, .github/skills/messaging-performance-analyzer and .opencode/skills/messaging-performance-analyzer in your project.
What does Messaging Performance Analyzer need to run?
Going by SKILL.md and its folder, Messaging Performance Analyzer needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Messaging Performance Analyzer 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 Messaging Performance Analyzer 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Messaging Performance Analyzer use?
No licence was found for Messaging Performance Analyzer or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Messaging Performance Analyzer use?
About 3.3k tokens (SKILL.md is roughly 13k 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 6.5k tokens, read only when the agent opens those files.
What are the alternatives to Messaging Performance Analyzer?
Skills that share tags, products or a category with Messaging Performance Analyzer: Integrate Whatsapp (gokapso/agent-skills, 175 stars), Observe Whatsapp (gokapso/agent-skills, 175 stars), Channel Debug Core (vercel-labs/vercel-openclaw-archived, 117 stars) and Frontmcp Channels (agentfront/frontmcp, 146 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Messaging Performance Analyzer?
aiskillstore (a GitHub organization) maintains it in aiskillstore/marketplace, which has 430 GitHub stars. The repository holds 1,108 skills in this directory. The repository was last updated on October 7, 2026.
Source: aiskillstore/marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.