Baoyu Youtube Transcript
JimLiu/baoyu-skills
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID.
Offline experimental CALL-E transcript helper that resolves every time reference in the agent's turns against the call timestamp, flagging relative-only commitments, meridiem-less clocks…
$ npx skills add CALLE-AI/awesome-phone-call-agents --skill call-temporal-anchor-auditor -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-temporal-anchor-auditor --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-temporal-anchor-auditor .claude/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .claude/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditorType 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-temporal-anchor-auditor -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-temporal-anchor-auditor --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-temporal-anchor-auditor .agents/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .agents/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditor -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-temporal-anchor-auditor --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-temporal-anchor-auditor .cursor/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .cursor/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditor--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-temporal-anchor-auditor -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install CALLE-AI/awesome-phone-call-agents call-temporal-anchor-auditor --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-temporal-anchor-auditor .gemini/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .gemini/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditorInstalls 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-temporal-anchor-auditor -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-temporal-anchor-auditor .github/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .github/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditor -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-temporal-anchor-auditor --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-temporal-anchor-auditor .opencode/skills/call-temporal-anchor-auditor && 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-temporal-anchor-auditor" agent skill from https://github.com/CALLE-AI/awesome-phone-call-agents/tree/main/skills/call-temporal-anchor-auditor into .opencode/skills/call-temporal-anchor-auditor/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "call-temporal-anchor-auditor", 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-temporal-anchor-auditorOffline experimental CALL-E transcript helper that resolves every time reference in the agent's turns against the call timestamp, flagging relative-only commitments, meridiem-less clocks…
Call Temporal Anchor Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that resolves every time reference in the agent's turns against the call timestamp, flagging relative-only commitments, meridiem-less clocks, dialect-dependent weekday phrases, and weekday-date calendar conflicts, plus an absolute-time goal template. It is not proof the callee misunderstood, a scheduler, or authorization to act.
Its SKILL.md is about 2.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 10 other files, including scripts and reference files (for example `references/example-transcript-conflict.json`, `references/example-transcript-relative.json` and `references/example-transcript.json`).
The repository describes itself as: Portable phone-call Agent Skills, apps, examples, adapters, and scheduler recipes for AI agents. The licence is MIT.
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 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3From the folder's file list and the shell code blocks in SKILL.md.
Links to these hosts (documentation or services it may open):
iso.orgFrom 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 Temporal Anchor Auditor loads about 2.6k tokens when it runs, and up to ~5.6k if it reads all its reference files. Until then it costs about 101 tokens; SKILL.md has 1,334 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). 1,334 words, ~2,610 tokens.
.claude/skills/call-temporal-anchor-auditor/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.A promise with no calendar anchor is a no-show waiting to happen.
CALL-E's highest-value calls are bookings: appointment-confirm,
no-show-shield, slotsaver, capacity-backfill-cascade all live or die
on whether the person on the other end walks in at the right slot. An agent
that closes with "see you tomorrow evening" or "your pickup is Tuesday at 2"
has exchanged a calendar anchor for a vibe - and each unanchored minute is
paid for later as a missed appointment, an idle bay, or a double-booked
table. This skill grades every time reference in the agent's own turns and
tells you which commitments would not survive a calendar check.
--called-at set to the run's ISO-8601 start time so relative phrases
("tomorrow", "next month") resolve against a real reference date--called-at when the relative phrases matter: without a
reference time they grade unresolvable_without_call_time and weekday-date
pair checks are skipped - if you know when the call ran, pass the flag| Verdict | Meaning |
|---|---|
NO_TIME_REFERENCES | the agent's turns contain no detectable time expression at all |
INTERNAL_DATE_CONFLICT | the agent's own turns disagree with the calendar (stated weekday vs date) or restate a clock hour with a different value |
RELATIVE_ONLY_COMMITMENTS | a commitment turn carries time expressions but never reaches a full absolute anchor anywhere the call supports it |
AMBIGUOUS_TIME_REFERENCES | time references exist and no commitment failed, but ambiguous ones remain (dialect-dependent weekdays, day-part bands, meridiem-less clocks, week ranges) |
FULLY_ANCHORED | every committed time resolves to an absolute date and a meridiem-bearing clock time |
python3 scripts/call_temporal_anchor_auditor.py analyze \
--call-result path/to/call-result.json \
--called-at 2026-10-07T09:00:00-07:00Reads the real get_call_run result shape ({status, result: {transcript}})
or a bare JSON array of {speaker, text} turns. Only AGENT turns are
audited; callee time mentions are counted but never graded.
Collection classes:
absolute_date: "October 14", "the 14th of October", "10/14" (US MM/DD),
and bare ordinal days ("the 14th") whose month is inferred from the call
timestampclock_absolute: clock times with meridiem ("at 2 p.m."), canonicalized
to 24h values; meridiem-less forms are clock_ambiguous - "at 2" and
colon times at or below 12 ("at 2:30") could be morning or afternoon,
while 13-23 colon times ("14:30") are true 24-hour clocksinvalid_date: a calendar date that does not exist in the call year
("February 29" in 2026) - never satisfies anchoringband: day-part phrases ("in the evening", "tomorrow morning", "at noon")relative_resolved / relative_derived: "tomorrow", "in two weeks",
"a week from today", bare weekdays - resolved only with --called-at; a
bare weekday resolves to the next strictly future occurrence and is never
guessed for "next/this <weekday>", which is flagged ambiguous
(dialect-dependent)unresolvable_without_call_time: relatives and bare ordinal days seen
with no --called-atResolution rules worth knowing:
<weekday>" and "this <weekday>" are never resolved; their meaning
varies by dialect, so they always flagConflict rules (any one forces INTERNAL_DATE_CONFLICT):
--called-at year ("Tuesday, October 14" when Oct 14 is a Wednesday)Commitment anchoring: turns matching commitment verbs (confirm, reserve,
book, see you, pickup, appointment, ...) that carry time expressions get a
RELATIVE_ONLY_COMMITMENT finding unless the slot reaches a full anchor -
a date anchor plus a clock_absolute - which may live anywhere in the call;
anchoring is call-level, so a restatement can lean on the anchor stated
earlier.
python3 scripts/call_temporal_anchor_auditor.py craft \
--task "confirm the catering pickup" \
--date "Wednesday, October 14" --time "2 p.m."Emits a plan_call goal whose time-discipline block demands weekday +
calendar date + clock time + meridiem on every commitment, forbids bare
"next <weekday>" and dateless "tomorrow", and requires the full anchor to be
read back once. See references/example-goal.txt for a realistic result.
text fields for clock times can render with the trailing dot
trimmed ("at 2 p.m") while the value stays canonical ("14:00"); judge
anchoring by values, not by the echoed text.ambiguous with
reason "week-range reference without a concrete day" even when
--called-at is given; a week range never resolves to a day.ambiguous with reason
"complex ordinal weekday expression"; the "nth weekday of a month"
computation is dialect- and calendar-dependent, so it is flagged, never
resolved.python3 -m pytest skills/call-temporal-anchor-auditor -q81 tests cover the collector, resolver, conflict rules, commitment
findings, verdict priority, CLI battery, craft mode, and the shipped
fixtures. references/examples.md shows byte-real runs against them.
| Research | Relevance |
|---|---|
| Fatemi, Kazemi, Tsitsulin, Malkan, Yim, Palowitch, Seo, Halcrow, Perozzi. "Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning". arXiv:2406.09170 (2024). | Large-scale evidence that temporal reasoning is a measured LLM weakness across order, duration, and absolute/relative references - the failure class this skill audits on call transcripts |
| Su, Li, Zhang, Zhu, Qu, Zhou, Bowen, Cheng, Zhang. "Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning?" (CoTempQA). ACL 2024. arXiv:2406.09072. | Shows co-temporal reasoning (aligning statements with a reference time) degrades even in strong models - exactly the resolution this skill performs deterministically against --called-at |
| Wei, Li, Song, Luo, Zhuang, Tan, Guo, Wang. "TIME: A Multi-level Benchmark for Temporal Reasoning of LLMs in Real-World Scenarios" (includes TIME-Dial, a dialogue sub-benchmark). NeurIPS 2025 (Spotlight). arXiv:2505.12891. | Demonstrates the weakness persists in dialogue settings (TIME-Dial), the register CALL-E transcripts live in |
| ISO 24617-1:2012 "Language resource management - Semantic annotation framework (SemAF) - Part 1: Time and events (SemAF-Time, ISO-TimeML)". International standard, https://www.iso.org/standard/37331.html (confirmed current by its 2023 systematic review). | The standards model for annotating absolute vs relative time expressions and resolving them against a reference time - this skill's collection classes follow the same shape as deterministic heuristics |
Together the three 2024-2025 benchmarks evidence that temporal reasoning - including in dialogue (TIME-Dial) - is a measured LLM weakness, and ISO-TimeML is the standards model for absolute vs relative time expressions resolved against a reference time; this skill operationalizes both as deterministic transcript heuristics, not as a model judgment.
Citation note: the Test of Time author list is nine names with Fatemi as first author; some secondary sources misattribute the paper, so cite Fatemi.
call-cross-call-consistency-checker compares stated facts across two
calls; this skill compares the agent's time wording against the calendar
within one call.call-agent-commitment-tracker inventories what was promised; this skill
grades whether the promised times would survive a calendar check.appointment-confirm and no-show-shield act on bookings; this skill is
a read-only post-call audit that feeds them a verifiable anchor.© 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 8 other files (scripts, references) in skills/call-temporal-anchor-auditor of CALLE-AI/awesome-phone-call-agents.
Open the folder on GitHubat commit 38d4118
Call Temporal Anchor Auditor 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 Temporal Anchor Auditor this skillCALLE-AI/awesome-phone-call-agents | 107 | — | ~2.6k | Automated safety check: Pass | MIT | |
| Baoyu Youtube TranscriptJimLiu/baoyu-skills | 27k | 1 repos | ~2.4k | Automated safety check: Pass | MIT | |
| Youtube Transcriptbrowser-act/skills | 6.1k | — | ~2.1k | Automated safety check: Pass | MIT | |
| Temporal Date Window ResolverHarnessMD/munder-difflin | 8.6k | — | ~742 | Automated safety check: Notes | MIT | |
| Youtube Transcriptsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Transcription0xsline/OpenChatCut | 2.2k | 1 repos | ~1.1k | Automated safety check: Pass | AGPL-3.0 |
JimLiu/baoyu-skills
Downloads YouTube video transcripts/subtitles and cover images by URL or video ID.
browser-act/skills
YouTube transcript extraction and content reformatting: given a YouTube video URL, opens the video's transcript panel, extracts all timestamped segments, and transforms the raw transcript into…
HarnessMD/munder-difflin
Resolves a named time window like lastWeek, last30Days or lastQuarter into exact ISO start and end dates relative to the current moment, with no files written and no network calls.
sickn33/agentic-awesome-skills
Fetch YouTube transcripts through DeepAPI or local fallback tooling and save clean text output.
0xsline/OpenChatCut
A skill your agent uses when a video/audio task needs OpenChatCut transcription, captions, subtitles, subtitle styling, transcript search, transcript readiness checks, or enabling captions…
sickn33/agentic-awesome-skills
Fetch YouTube video transcripts, search videos/channels, browse channels, and extract playlists via the getyoutubetranscript.com API - free tier, no card required.
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…
Offline experimental CALL-E transcript helper that resolves every time reference in the agent's turns against the call timestamp, flagging relative-only commitments, meridiem-less clocks…. Call Temporal Anchor Auditor is an agent skill from CALLE-AI/awesome-phone-call-agents. Offline experimental CALL-E transcript helper that resolves every time reference in the agent's turns against the call timestamp, flagging relative-only commitments, meridiem-less clocks, dialect-dependent weekday phrases, and weekday-date calendar conflicts, plus an absolute-time goal template.
Run `npx skills add CALLE-AI/awesome-phone-call-agents --skill call-temporal-anchor-auditor -a claude-code`. Or copy the skill folder (skills/call-temporal-anchor-auditor in CALLE-AI/awesome-phone-call-agents) into .claude/skills/call-temporal-anchor-auditor 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-temporal-anchor-auditor -a codex`. Or copy the skill folder (skills/call-temporal-anchor-auditor in CALLE-AI/awesome-phone-call-agents) into .agents/skills/call-temporal-anchor-auditor 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-temporal-anchor-auditor -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-temporal-anchor-auditor, .gemini/skills/call-temporal-anchor-auditor, .github/skills/call-temporal-anchor-auditor and .opencode/skills/call-temporal-anchor-auditor in your project.
Going by SKILL.md and its folder, Call Temporal Anchor Auditor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
SKILL.md names 1 domain. As links in the text: iso.org. 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 Temporal Anchor Auditor is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.6k tokens (SKILL.md is roughly 10k 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 3k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Call Temporal Anchor Auditor: Baoyu Youtube Transcript (JimLiu/baoyu-skills, 27k stars), Youtube Transcript (browser-act/skills, 6.1k stars), Temporal Date Window Resolver (HarnessMD/munder-difflin, 8.6k stars) and Youtube Transcript (sickn33/agentic-awesome-skills, 47k 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.