Time Tracking
sickn33/agentic-awesome-skills
Time entry register: employee, project, client, task, hours, billable flag, rate and amount, invoice and approver.
Static timing analysis — multi-corner constraint validation, setup and hold analysis, timing exception review, and ECO guidance for closure.
$ npx skills add hdl-tools/digital-chip-design-agents --skill sta -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents sta --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/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/sta/skills/sta .claude/skills/sta && 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 "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .claude/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/staType 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 hdl-tools/digital-chip-design-agents --skill sta -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents sta --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .agents/skills && cp -r skills-src/plugins/sta/skills/sta .agents/skills/sta && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .agents/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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 hdl-tools/digital-chip-design-agents --skill sta -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents sta --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/plugins/sta/skills/sta .cursor/skills/sta && 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 "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .cursor/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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/hdl-tools/digital-chip-design-agents.git --path plugins/sta/skills/sta--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 hdl-tools/digital-chip-design-agents --skill sta -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents sta --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/plugins/sta/skills/sta .gemini/skills/sta && 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 "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .gemini/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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 hdl-tools/digital-chip-design-agents staInstalls 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 hdl-tools/digital-chip-design-agents --skill sta -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .github/skills && cp -r skills-src/plugins/sta/skills/sta .github/skills/sta && 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 "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .github/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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 hdl-tools/digital-chip-design-agents --skill sta -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install hdl-tools/digital-chip-design-agents sta --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/hdl-tools/digital-chip-design-agents.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/plugins/sta/skills/sta .opencode/skills/sta && 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 "sta" agent skill from https://github.com/hdl-tools/digital-chip-design-agents/tree/master/plugins/sta/skills/sta into .opencode/skills/sta/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sta", 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.
staStatic timing analysis — multi-corner constraint validation, setup and hold analysis, timing exception review, and ECO guidance for closure.
Sta is an agent skill from hdl-tools/digital-chip-design-agents. Static timing analysis — multi-corner constraint validation, setup and hold analysis, timing exception review, and ECO guidance for closure. Use when running timing analysis on a design, reviewing timing violations, guiding ECO fixes, or performing timing sign-off for tape-out.
Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Digital HDL Design Full-stack Agents. The licence is MIT.
2 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 38736b1. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadWriteBashFrom allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
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.
Sta loads about 3.1k tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 1,375 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 noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, Write, BashAutomated 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.
The full file from hdl-tools/digital-chip-design-agents at commit 38736b1, republished under its MIT licence (© hdl-tools). 1,375 words, ~3,091 tokens.
.claude/skills/sta/SKILL.md (or your agent's skills folder).When this skill is loaded and a user presents a timing analysis task, do not
execute stages directly. Immediately spawn the
digital-chip-design-agents:sta-orchestrator agent and pass the full user
request and any available context to it. The orchestrator enforces the stage
sequence, loop-back rules, and sign-off criteria defined below.
Use the domain rules in this file only when the orchestrator reads this skill mid-flow for stage-specific guidance, or when the user asks a targeted reference question rather than requesting a full flow execution.
Before executing or advising on any stage, read the following files if they exist:
memory/sta/knowledge.md — known failure patterns, successful tool flags, PDK/tool quirks.
Incorporate its guidance into every stage decision. If absent, proceed without it.memory/sta/run_state.md — current run identity (run_id, design_name, tool,
last_stage). Use this to resume correctly after interruption. If absent, a new run
is starting; the orchestrator will create this file before the first stage.This pre-run read applies whether this skill is loaded by a user or called by the orchestrator mid-flow. It ensures the fix database is consulted before any diagnosis step.
Multi-corner, multi-mode timing analysis, exception review, ECO-guided closure, and timing sign-off. WNS ≥ 0 and TNS = 0 at all corners required for tape-out.
sta) — standalone open-source STA; runs tcl scripts in batch mode (see sequential flow note below)openroad -no_init) — STA within the OpenROAD PD flow; runs sequentially via tcl scriptpt_shell, dialect synopsys) — gold-standard multi-corner STA and power analysistempus, dialect cadence) — concurrent multi-mode multi-corner STA with ECO guidanceOpenSTA (sta) and the OpenROAD STA subsystem (openroad -no_init) execute tcl script
commands sequentially. When run in batch mode the agent must parse the output log to
extract timing results — there is no interactive prompt to query mid-run.
Key log patterns to parse after run completion:
report_timing output → extract WNS (worst negative slack) and critical pathreport_tns output → extract TNS (total negative slack) per cornerreport_clock_skew output → global skew and insertion delay per clock groupcheck_timing → missing constraints, unconstrained endpoints, loopsBatch invocation:
opensta -no_splash -exit timing_check.tcl > sta.log 2>&1
# or via OpenROAD:
openroad -no_init -exit sta.tcl > sta.log 2>&1Parse sta.log after completion. Apply loop-back rules (ECO guidance stage) if
setup/hold violations are found.
report_timing -unconstrained–setup N and –hold 1 specified| Error | Consequence |
|---|---|
| MCP without hold correction | Hold violations introduced |
| False path too broad | Real timing issues masked |
| Generated clock missing | Path unconstrained |
| Wrong clock period | Over/under-constraining |
Corners are driven by design_state.constraints.pvt_corners[]. The table below shows the
default corners used when pvt_corners is absent or contains no entries with non-null V/T:
| Mode | Setup Corner | Hold Corner |
|---|---|---|
| Functional | SS/0.9V/125°C (default) | FF/1.1V/−40°C (default) |
| Test (at-speed) | SS/0.9V/125°C (default) | FF/1.1V/25°C (default) |
| Low Power | SS/0.9V/125°C (default) | FF/1.1V/25°C (default) |
When pvt_corners is populated, use every entry with "checks": ["setup"] for setup and
every entry with "checks": ["hold"] for hold; the defaults above are the fallback.
| Metric | Target |
|---|---|
| Setup WNS | ≥ design_state.constraints.timing.wns_ns_target (default: 0) all corners |
| Setup TNS | = design_state.constraints.timing.tns_ns_target (default: 0) all corners |
| Hold WNS | ≥ design_state.constraints.timing.wns_ns_target (default: 0) all corners |
| Hold TNS | = design_state.constraints.timing.tns_ns_target (default: 0) all corners |
set_false_path: verify the path is truly non-functional (not just inconvenient)set_multicycle_path: verify both -setup N and -hold 1 are set correctlyset_max_delay: verify value matches system-level timing budget| Error | Consequence |
|---|---|
set_false_path on functional CDC | Real metastability risk hidden |
| MCP without hold correction | Hold violations introduced silently |
| Exception too broad (glob match) | Unintended paths unconstrained |
| Expired exception (removed logic) | Stale SDC — may mask other issues |
Setup violation:
Logic depth > target? → Retime / add pipeline stage
Long wire (> 500μm)? → Buffer insertion / reroute on upper metal
Weak driver? → Upsize driver cell
High-Vt on critical path? → Swap to SVT or LVT
Reconvergent fanout? → Clone cell / split net
Hold violation:
Skew-induced (post-CTS)? → Useful skew / targeted delay buffer
Short path (< 1 cycle)? → Insert HVT delay buffer
New path from ECO? → Targeted hold buffer at sink registerdesign_state.constraints.timing.wns_ns_target (default: 0) at all cornersdesign_state.constraints.timing.tns_ns_target (default: 0) at all cornersdesign_state.constraints.timing.wns_ns_target (default: 0) at all cornersdesign_state.constraints.timing.tns_ns_target (default: 0) at all cornersSee plugins/meta/skills/pipeline-orchestration/SKILL.md §Constraints Schema for the authoritative schema and stage-entry validation rule.
Required at entry (constraint_validation) — hard-fail if missing:
constraints.clock.clk_mhz — clock frequency used to interpret timing resultsconstraints.pvt_corners — at least one entry with non-null voltage_v and temp_c; missing or invalid entries should hard-fail during constraint_validationOptional (schema defaults apply when absent):
constraints.timing.wns_ns_target (default: 0) — WNS sign-off thresholdconstraints.timing.tns_ns_target (default: 0) — TNS sign-off thresholdconstraints.timing.skew_ps_max (default: 100) — CTS skew limitconstraints.timing.transition_ps_max (default: 200) — max clock transitionconstraints.timing.insertion_delay_ps_max (default: 500) — max insertion delayAfter each stage completes (regardless of whether an orchestrator session is active),
write or overwrite one JSON record in memory/sta/experiences.jsonl keyed by
run_id. This ensures data is persisted even if the flow is interrupted or called
without full orchestrator context.
Use run_id = sta_<YYYYMMDD>_<HHMMSS> (set once at flow start; reuse on each
stage update). Set signoff_achieved: false until the final sign-off stage completes.
Write memory/sta/run_state.md as the first action before launching any tool:
run_id: sta_<YYYYMMDD>_<HHMMSS>
design_name: <design>
tool: <primary tool>
start_time: <ISO-8601>
last_stage: <first stage name>Update last_stage after each stage completes. This file lets wakeup-loop prompts
and resumed sessions identify the correct run without relying on in-memory state.
Create the file and parent directories if they do not exist.
If mcp__plugin_ecc_memory__add_observations is available in this session, emit each
applied fix as an observation to entity chip-design-sta-fixes after writing to
experiences.jsonl. Skip silently if the tool is absent — JSONL is the canonical record.
© hdl-tools, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in plugins/sta/skills/sta of hdl-tools/digital-chip-design-agents.
Open the folder on GitHubat commit 38736b1
Sta 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 |
|---|---|---|---|---|---|---|
| Sta this skillhdl-tools/digital-chip-design-agents | 212 | — | ~3.1k | Automated safety check: Notes | MIT | |
| Time Trackingsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Time Ledgersickn33/agentic-awesome-skills | 47k | 1 repos | ~1.8k | Automated safety check: Pass | MIT | |
| Timing AnalysisFastLED/FastLED | 7.5k | — | ~484 | Automated safety check: Pass | MIT | |
| Timely AutomationComposioHQ/awesome-claude-skills | 77k | 3 repos | ~727 | Automated safety check: Pass | None | |
| Azure Static Web Appsgithub/awesome-copilot | 40k | 1 repos | ~2.4k | Automated safety check: Pass | MIT |
sickn33/agentic-awesome-skills
Time entry register: employee, project, client, task, hours, billable flag, rate and amount, invoice and approver.
sickn33/agentic-awesome-skills
Natural-language time tracking: parse what the user says they did into Activity/Minutes/Date rows in their own Notion database — asking instead of guessing when unsure.
FastLED/FastLED
Analyze real-time constraints, ISR latency, DMA transfer times, and LED protocol timing for embedded systems.
ComposioHQ/awesome-claude-skills
Automate Timely tasks via Rube MCP (Composio). An agent skill from ComposioHQ/awesome-claude-skills.
github/awesome-copilot
Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI.
astral-sh/ruff
A skill your agent uses when a user asks to wobble ty constraint ordering, check constraint-set or TDD ordering determinism, test reversed constraint/typevar IDs, or investigate nondeterministic ty…
hdl-tools/digital-chip-design-agents
Microarchitecture exploration, PPA estimation, risk assessment, and architecture sign-off for digital chip design.
hdl-tools/digital-chip-design-agents
Compiler toolchain development for custom processor ISAs — LLVM/GCC backend, assembler, linker scripts, runtime libraries, and regression validation.
hdl-tools/digital-chip-design-agents
Design for Test — scan architecture planning, scan insertion, ATPG pattern generation, MBIST for embedded memories, and JTAG boundary scan.
hdl-tools/digital-chip-design-agents
Embedded firmware and device drivers — BSP development, peripheral driver implementation (UART, SPI, I2C, GPIO, DMA, Timer), RTOS integration (FreeRTOS, Zephyr), and system validation.
hdl-tools/digital-chip-design-agents
Formal property verification (FPV) and logical equivalence checking (LEC).
hdl-tools/digital-chip-design-agents
FPGA prototyping — ASIC-to-FPGA RTL adaptation, multi-FPGA partitioning, synthesis and timing closure on FPGA, hardware bring-up, and software validation on the prototype.
Static timing analysis — multi-corner constraint validation, setup and hold analysis, timing exception review, and ECO guidance for closure. Sta is an agent skill from hdl-tools/digital-chip-design-agents. Static timing analysis — multi-corner constraint validation, setup and hold analysis, timing exception review, and ECO guidance for closure.
Sta fits situations like: running timing analysis on a design; reviewing timing violations; guiding ECO fixes; performing timing sign-off for tape-out.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill sta -a claude-code`. Or copy the skill folder (plugins/sta/skills/sta in hdl-tools/digital-chip-design-agents) into .claude/skills/sta in your project. Claude Code loads it when a task matches its description.
Run `npx skills add hdl-tools/digital-chip-design-agents --skill sta -a codex`. Or copy the skill folder (plugins/sta/skills/sta in hdl-tools/digital-chip-design-agents) into .agents/skills/sta 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 hdl-tools/digital-chip-design-agents --skill sta -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sta, .gemini/skills/sta, .github/skills/sta and .opencode/skills/sta in your project.
SKILL.md names no scripts, command-line tools or credentials: Sta is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Write, Bash.
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.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Sta is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Sta: Time Tracking (sickn33/agentic-awesome-skills, 47k stars), Time Ledger (sickn33/agentic-awesome-skills, 47k stars), Timing Analysis (FastLED/FastLED, 7.5k stars) and Timely Automation (ComposioHQ/awesome-claude-skills, 77k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
hdl-tools (a GitHub organization) maintains it in hdl-tools/digital-chip-design-agents, which has 212 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 3, 2026.
Source: hdl-tools/digital-chip-design-agents on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.