Meeting Notes
outline/outline
Create meeting notes in Outline from a template; use when the user wants an agenda, notes, or a follow-up document for a meeting.
Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-summarizer --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/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/call-summarizer .claude/skills/call-summarizer && 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 "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .claude/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizerType 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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-summarizer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/call-summarizer .agents/skills/call-summarizer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .agents/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-summarizer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/call-summarizer .cursor/skills/call-summarizer && 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 "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .cursor/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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/CALLE-AI/awesome-phone-call-agents.git --path skills/call-summarizer--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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-summarizer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/call-summarizer .gemini/skills/call-summarizer && 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 "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .gemini/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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 CALLE-AI/awesome-phone-call-agents call-summarizerInstalls 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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/call-summarizer .github/skills/call-summarizer && 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 "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .github/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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 CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-summarizer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/CALLE-AI/awesome-phone-call-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/call-summarizer .opencode/skills/call-summarizer && 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 "call-summarizer" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-summarizer into .opencode/skills/call-summarizer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-summarizer", 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.
call-summarizerTurn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a…
Call Summarizer is an agent skill from CALLE-AI/awesome-phone-call-agents. Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a redacted caller fingerprint. Use after any CALL-E call when an agent or operator needs an actionable, reviewable record of what was said without re-reading the whole transcript or re-playing the recording.
Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including scripts and reference files (for example `references/call-e-feedback.md`, `references/example-transcript.json` and `references/examples.md`).
It sits in Productivity & Automation, covering Meeting notes and agendas. The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
4 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 38d4118. It shows what the files ask for, not the result of running them.
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.
Ships 3 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3pipFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use pip, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Call Summarizer loads about 1.9k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 950 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.
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.
The full file from CALLE-AI/awesome-phone-call-agents at commit 38d4118, republished under its MIT licence (© CALLE-AI). 950 words, ~1,945 tokens.
.claude/skills/call-summarizer/SKILL.md (or your agent's skills folder). This skill also uses 7 other files; get the full folder from GitHub.Use this skill after a CALL-E call has completed and the agent needs to turn the returned transcript into a compact, actionable post-call record.
call-summarizer is a post-call analysis skill. It takes a CALL-E call result
that already contains a transcript, runs locally with no additional phone calls
and no network access, and emits a single structured brief: a one-line outcome,
a masked summary of the conversation, the action items with owners and due
dates, the caller sentiment, and a redacted caller fingerprint for dedup.
It is a good fit for CALL-E's design: the hard part (the call) is already done, and the remaining work (turning a long transcript into something an agent can act on) is pure text analysis that should not require a second provider or a paid summarization API.
Use this skill for:
Do not use this skill to:
Required: a CALL-E call result containing a transcript field (the full
dialogue turns between the agent and the callee). The transcript may be plain
text or a list of turns; both are handled.
Confirm with the operator that this transcript belongs to a call they authorized and that they want a post-call brief generated. Never run this skill on a transcript whose origin is unknown.
Run scripts/summarize_call.py on the transcript. By default it reads from a
file path and prints the brief to stdout; it makes no network calls and places
no calls.
python3 scripts/summarize_call.py --transcript path/to/transcript.json --out brief.jsonThe script performs:
unknown.masked: "partial" with a
masking_scope field documenting exactly which PII classes are tokenized;
ordinary personal names without an introduction cue are NOT redacted (the
skill uses no NER model and the contract is honest about this boundary).owner: unknown rather than guessing.positive, neutral, negative, mixed)
with a short justification span from the transcript. It never reports a
sentiment the transcript does not support.caller_id field if
provided). The call_id is deliberately excluded so the same caller
produces the same fingerprint across calls, enabling de-duplication without
storing PII.Run scripts/validate_brief.py to confirm the brief is well-formed before any
downstream system consumes it. It checks that every action item has an owner,
that masking has no residual raw phone numbers, emails, account identifiers,
or personal names, and that the outcome line is non-empty and grounded in the
transcript.
Return the brief to the operator or the calling agent. The skill does not execute any action item; it only reports them. Routing decisions (escalate, follow up, close the ticket) stay with the operator or the host agent.
The brief is a single JSON object:
{
"outcome": "Appointment confirmed for Tuesday 10:00.",
"summary": "The callee confirmed the appointment and asked for a reminder the day before.",
"actions": [
{
"owner": "agent",
"verb": "send reminder",
"due": "2026-09-15",
"source_span": "I will send a reminder the day before."
}
],
"sentiment": {
"label": "positive",
"justification": "Callee confirmed without hesitation."
},
"caller_fingerprint": "sha256:9f2c...",
"masked": "partial",
"masking_scope": "phone_numbers emails account_ids title_prefixed_names cue_introduced_names",
"masking_note": "Structured PII and cued personal names are tokenized. Ordinary uncued names are NOT redacted."
}Read references/safety.md for the full safety contract.
masked field is "partial" with a
masking_scope documenting the boundary; ordinary uncued names are NOT
redacted (no NER model).category: sensitive and routed to a
human rather than auto-dispatched.outcome: unknown and an empty actions list. It never invents
a plausible outcome.pip install is required for the default (no-call) path.call-reminder or verify-by-phone skills for placing calls.# Dry run on the bundled example transcript (no calls, no network).
python3 scripts/summarize_call.py \
--transcript references/example-transcript.json \
--out /tmp/brief.json
# Validate the brief.
python3 scripts/validate_brief.py --brief /tmp/brief.jsonSee references/examples.md for worked examples on different call types
(confirmation, reschedule, no-answer, voicemail) and the expected brief for
each.
© CALLE-AI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 7 other files (scripts, references) in skills/call-summarizer of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Call Summarizer 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 |
|---|---|---|---|---|---|---|
| Call Summarizer this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Meeting Notesoutline/outline | 41k | — | ~551 | Automated safety check: Pass | Custom licence | |
| Management Talkthananon/9arm-skills | 3.2k | — | ~3.2k | Automated safety check: Pass | None | |
| Challenge Baseline ModelAgibotTech/genie_sim | 1.4k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Handwriting Stand Uplimin112/min-skill | 454 | — | ~2.5k | Automated safety check: Pass | None | |
| Daily Journalravila4/claude-adhd-skills | 158 | — | ~2.5k | Automated safety check: Pass | MIT |
outline/outline
Create meeting notes in Outline from a template; use when the user wants an agenda, notes, or a follow-up document for a meeting.
thananon/9arm-skills
Rewrite engineer-to-engineer content for engineering-org leadership (VPs, directors, PMs, release managers, execs in an engineering-savvy company) and shape it for the channel it is going to — JIRA…
AgibotTech/genie_sim
Provision and launch the Simulation Challenge baseline inference model end to end: clone the inference code from a given git repo/branch, download the checkpoints from ModelScope into the repo's…
limin112/min-skill
Turn a screen recording of handwriting (or a photo of handwritten text) into a single-file HTML "continuation" — the recording plays, the ink lifts off the page as solid 3D letters, a short animated…
ravila4/claude-adhd-skills
Draft, organize, or update development journal entries. An agent skill from ravila4/claude-adhd-skills.
ArtemXTech/claude-code-obsidian-starter
Query and sync Granola meetings to Obsidian vault. An agent skill from ArtemXTech/claude-code-obsidian-starter.
CALLE-AI/awesome-phone-call-agents
Demonstrates advisory accessibility-planning checks with offline fixtures and a proposed bounded CALL-E workflow; use for exploring unknown or qualified venue claims without making calls.
CALLE-AI/awesome-phone-call-agents
A skill your agent uses when an agent holds some evidence for a physical-world claim but the evidence is broader, narrower, or older than the exact question asked, and it must first decide whether a…
CALLE-AI/awesome-phone-call-agents
Call a venue and ask the accessibility questions that matter to one specific person — step-free entry, hearing loop, guide dogs, quiet hours, changing places — then return a per-need verdict backed…
CALLE-AI/awesome-phone-call-agents
Turns a pre-written, building-level location config into a CALL-E outbound phone-call task that guides a delivery driver through the last few hundred metres to a specific building using landmarks…
CALLE-AI/awesome-phone-call-agents
Turn cited business research into a bounded, approval-gated phone-call plan that asks only unresolved factual questions, then reconcile CALL-E-compatible results without treating voicemail, refusal…
CALLE-AI/awesome-phone-call-agents
Place a goal-driven CALL-E call that collects specific structured answers, score those answers against a deterministic rubric you supply, and conditionally trigger a follow-up action — all runnable…
Categories
Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a…. Call Summarizer is an agent skill from CALLE-AI/awesome-phone-call-agents. Turn a finished CALL-E phone-call transcript into a structured post-call brief with a one-line outcome, a masked summary, extracted action items with owners and due dates, caller sentiment, and a redacted caller fingerprint.
Call Summarizer fits situations like: tasks that involve Meeting notes and agendas.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a claude-code`. Or copy the skill folder (skills/call-summarizer in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-summarizer in your project. Claude Code loads it when a task matches its description.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a codex`. Or copy the skill folder (skills/call-summarizer in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-summarizer in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-summarizer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/call-summarizer, .gemini/skills/call-summarizer, .github/skills/call-summarizer and .opencode/skills/call-summarizer in your project.
Going by SKILL.md and its folder, Call Summarizer needs Python for the scripts in its folder and the command-line tools its instructions call (python3 and pip). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
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.
Call Summarizer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.9k tokens (SKILL.md is roughly 7.8k 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 3.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Call Summarizer: Meeting Notes (outline/outline, 41k stars), Management Talk (thananon/9arm-skills, 3.2k stars), Challenge Baseline Model (AgibotTech/genie_sim, 1.4k stars) and Handwriting Stand Up (limin112/min-skill, 454 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
CALLE-AI (a GitHub organization) maintains it in CALLE-AI/awesome-phone-call-agents, which has 107 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on October 10, 2026.
Source: CALLE-AI/awesome-phone-call-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.